Thursday, July 19, 2018

Leading artificial intelligence companies partner on a quest to solve Duchenne Muscular Dystrophy

Thursday, July 19, 2018, Rockville, MD - Insilico Medicine a leader in artificial intelligence for drug discovery, biomarker development and aging research, announced a research collaboration agreement with A2A Pharmaceuticals, Inc. A2A is a biotechnology company headquartered in New York and focused on development of novel drugs for unmet needs in oncology, drug resistant bacterial infections, and other life threatening diseases. 
The companies agreed to join forces to create a new company called "Consortium.AI" , which will apply the latest advances in AI to discovery of novel small molecules for the Duchenne Muscular Dystrophy (DMD) and other rare orphan diseases. Computationally pre-optimized new drug candidates have already been designed for targets validated through Insilico's artificial intelligence system A2A Pharmaceuticals will assume the management of the new company, provide the development expertise for the newly discovered compounds and should be contacted for the licensing of the compounds. 
"We are pleased to partner with Insilico Medicine, combining our strengths and complementary technologies to accelerate advancement of better therapeutics into the clinic for the patients that need them.", said Dr. Elena Diez Cecilia, Head of Business Development at A2A Pharmaceuticals. "Muscular Dystrophy is a debilitating and terminal degenerative condition that causes muscle inflammation and wasting, and there is a huge need for more effective therapies ", she said. 
Both companies will collaborate on research programs devoted to the development of therapeutic approaches for Duchenne muscular dystrophy (DMD) and other severe genetic disorders. Insilico Medicine's technology applies advances in deep neural networks to identifying critical disease targets and generation of novel chemistry using next-generation artificial intelligence. A2A uses proprietary computational tools including artificial intelligence to design highly selective therapeutics for difficult to drug targets like protein-protein interactions.
"A2A Pharmaceuticals has a team of highly talented drug hunters with a proven track record in discovery, development and licensing of the drug candidates. We are very happy to partner with their team to address the unmet medical needs of patients who are desperately waiting for solutions. This is fantastic application for AI ", said Alex Zhavoronkov, founder and CEO of Insilico Medicine.
The companies agreed to collaborate on drug discovery programs, empowering Insilico AI's biology and target discovery engine with A2A's state-of-the-art chemical design expertise in drug development. Consortium AI will bridge the ecosystems of two rapidly expanding AI-companies to enable dramatically faster and less expensive development of more effective therapeutics.
About Insilico Medicine, Inc.
Insilico Medicine is an artificial intelligence company with R&D offices and resources in the US, Belgium, Russia, the UK, Taiwan and Korea, sourced through hackathons and competitions. The company and its scientists are dedicated to extending human productive longevity and transforming every step of the drug discovery and drug development process through excellence in biomarker discovery, drug development, digital medicine and aging research.
Insilico pioneered the applications of the generative adversarial networks (GANs) and reinforcement learning for generation of novel molecular structures for diseases with a known ligand and with no known targets. In addition to working collaborations with large pharmaceutical companies, the company is pursuing internal drug discovery programs in cancer, dermatological diseases, fibrosis, Parkinson's Disease, Alzheimer's Disease, ALS, diabetes, sarcopenia, and aging. Through a partnership with LifeExtension.com the company launched a range of nutraceutical products, compounded using advanced bioinformatics and deep learning techniques. It also provides a range of consumer-facing applications, including Young.AI.
In 2017, NVIDIA selected Insilico Medicine as one of the Top 5 AI companies for potential in social impact. In 2018, the company was named one of the global top 100 AI companies by CB Insights. In 2018 it received the Frost & Sullivan 2018 North American Artificial Intelligence for Aging Research and Drug Development Award accompanied by industry brief. Brief company video: https://www.youtube.com/watch?v=l62jlwgL3v8. http://www.insilico.com
About A2A Pharmaceuticals, Inc.
A2A Pharmaceuticals Inc. is a biotechnology company committed to the advancement of innovative scientific research and new therapeutic agents for difficult-to-drug targets. Our focus is on the development of novel drugs to treat cancer, antibiotic resistant bacterial infections and other life threatening diseases. Our SCULPT technology is a fragment-based, de novo design which incorporates Artificial Intelligence in drug discovery processes that include (1) fingerprint-based protein-ligand interaction prediction, (2) Decision making machine learning, (3) Deep learning algorithms for structure-activity relationship analysis and the creation of new chemical entities.
A2A's oncology programs apply its therapeutic design methodology towards inhibiting therapeutically relevant protein-protein interactions (PPIs) and its SCULPT platform enables the design of novel ligands to specifically match the unique topological features of individual target classes. A2A's antibiotic program aims for the development of novel antibiotics against gram-negative bacterial species, utilizing various bioinformatic approaches incorporated into the SCULPT ecosystem.
A2A Pharmaceuticals won the Johnson & Johnson Innovation JLABS Artificial Intelligence quickfire challenge and takes residency at the JLABS @ NYC. https://www.prnewswire.com/news-releases/johnson--johnson-innovation-opens-jlabs--nyc-in-collaboration-with-new-york-state-and-the-new-york-genome-center-300670313.html

For more information visit https://www.a2apharma.com.

Thursday, July 12, 2018

Insilico Medicine announces validation of the GAN-RL systems for de novo molecular design

12th of July, 2018, Rockville, MD -- Today Insilico Medicine, a company specializing in artificial intelligence for biomarker and drug discovery and aging research, announced the experimental validation of the GAN-RL systems for de novo molecular design. Insilico applied its AI-powered algorithms to design new preclinical agents with desired properties, including novel inhibitors of JAK, BRAF, and EGFR kinases. The synthesis and biological evaluation of compounds was performed by a highly reputable validation partner. 
Initially introduced by Ian Goodfellow, Generative Adversarial Networks (GANs) have demonstrated great potential in the generation of various types of real-world data, including images, texts, and video. Insilico Medicine subsequently pioneered the application of GANs in the field of drug discovery and has published numerous scientific papers on GAN architectures utilizing innovative and advanced approaches, including reinforcement learning (RL) and condition-based generation to generate novel molecular entities with pre-specified chemical and biological properties. 
"The results of the biological testing are very promising. Such proof-of-concept studies lay the foundation for further implementations of artificial intelligence to drug discovery and allow us to look beyond the traditional paradigm. We are happy to share some of these results with the technology companies working on entering the pharma space during the ICML conference", said Alex Aliper, president of EMEA, Insilico Medicine. 
The pharmaceutical companies attending the ICML 2018 conference in Sweden are encouraged to visit the booth #B07:13 near the poster area for a demonstration. 
While the company is pursuing a large number of targets discovered using the multi-omics analysis in a variety of age-related diseases, compounds with high therapeutic potential in anti-cancer therapy, such as those targeting JAK, BRAF and EGFR kinases, were selected for synthesis and validation of the GAN-RL systems performance. 
In the in vitro testing, generated compounds have demonstrated two-digit nanomolar activity against JAK kinases, including series of selective JAK-1 and JAK-3 inhibitors. Other molecules have shown potent inhibitory activities against BRAF and EGFR kinases. Condition-based GAN, turned on the activity data of known ligands, was able to generate dual BRAF-EGFR inhibitors with picomolar potency. Examined by highly experienced medicinal chemists, the compounds were marked as novel molecules with clear IP status and interesting structural motifs.
The model developed by Insilico Medicine fixes theoretical flaws in the initially proposed conditional version of the Adversarial Autoencoder, used in many previous papers by multiple researchers. The proposed model was intensively tested in multiple drug discovery-related tasks. The model extrapolated patterns of binding affinity to generate compounds with higher affinity to an MCL1 protein compared to molecules from the training data. Tuned on a small set of active and inactive molecules against the family of JAK kinases, the model was able to generate selective molecules against JAK-1 and JAK-3. Incorporating several reward functions in RL-based model allowed it to achieve greater structural diversity and shift the distribution of generated samples to more complex, nature-like chemistry. 
"Our goal is to create an end-to-end AI-based pipeline that will allow to reduce the time and costs at all stages of drug discovery and deliver real cures to help millions of patients worldwide. We are excited to announce the results of the experimental validation of our GAN-RL engine. This approach has a vast potential to generate novel pre-clinical candidates. This engine is one of the many vital parts of our drug discovery pipeline", said Alex Zhavoronkov, Ph.D., founder, and CEO of Insilico Medicine. 
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For further information, images or interviews, please contact: 
Contact: Qingsong Zhu, PhD 
zhu@pharma.ai 
Website: http://www.insilico.com
About Insilico Medicine, Inc
Insilico Medicine is an artificial intelligence company headquartered at in Rockville, with R&D and management resources in Belgium, Russia, UK, Taiwan, and Korea sourced through hackathons and competitions. The company and its scientists are dedicated to extending human productive longevity and transforming every step of the drug discovery and drug development process through excellence in biomarker discovery, drug development, digital medicine and aging research.
Insilico pioneered the applications of the generative adversarial networks (GANs) and reinforcement learning for generation of novel molecular structures for the diseases with a known target and with no known targets. In addition to working collaborations with the large pharmaceutical companies, the company is pursuing internal drug discovery programs in cancer, dermatological diseases, fibrosis, Parkinson's Disease, Alzheimer's Disease, ALS, diabetes, sarcopenia, and aging. Through a partnership with LifeExtension.com, the company launched a range of nutraceutical products compounded using the advanced bioinformatics techniques and deep learning approaches. It also provides a range of consumer-facing applications including Young.AI.
In 2017, NVIDIA selected Insilico Medicine as one of the Top 5 AI companies in its potential for social impact. In 2018, the company was named one of the global top 100 AI companies by CB Insights. In 2018 it received the Frost & Sullivan 2018 North American Artificial Intelligence for Aging Research and Drug Development Award accompanied with the industry brief. Brief company video: https://www.youtube.com/watch?v=l62jlwgL3v8.

Monday, June 25, 2018

The advances of Blockchain for Healthcare to be presented at the Basel Life Conference

Friday, June 22, 2018, Rockville, MD - Insilico Medicine, a Rockville-based company specializing in the application of artificial intelligence for drug discovery, biomarker development and aging research, announces the presentation of Verner De Biasi, Head of Digital Data and Analytics, PTS, GSK R&D, at the Artificial Intelligence and Blockchain in Healthcare Forum at the EMBO/Basel Life Conference. 
Dr. De Biasi will co-chair the AI and Blockchain in Healthcare forum and give a talk titled "Leveraging the Blockchain from Bench to Bedside - How It Can Benefit the Patient" and devoted to the latest advances in the applications of Blockchain technology to patient care. The presentation will explore how Blockchain can enhance the relationships between healthcare providers and patients and enable patients to gain greater insights and benefits from it.
"Blockchain and Artificial Intelligence are immensely complimentary with each other, and now we are witnessing how both these technologies are enabling new, previously unthinkable applications in healthcare. I am happy to co-chair the AI and Blockchain for Healthcare innovation forum at the EMBO/Basel Life that gathers many thought leaders from the industry to expand the rising potential of AI and Blockchain for drug discovery and personalized management of life data in healthcare", said Verner De Biasi, Head Digital, Data and Analytics, PTS, GSK R&D.
Artificial Intelligence and Blockchain for Aging Research and Drug Discovery is turning into a credible industry and received recognition from the world's most prominent industry analysts including Frost & Sullivan and CB Insights. 
2nd Artificial Intelligence and Blockchain in Healthcare innovation forum is an annual event at the EMBO/Basel Life Conference that brings together the key experts in AI and Blockchain to discuss the latest advances of these technologies in biopharmaceutical and healthcare sectors. This year the Forum is chaired by Alex Zhavoronkov, CEO at Insilico Medicine, and Verner De Biasi, Head Digital, Data and Analytics, PTS, GSK R&D, The event will be held in Basel on September 13-14, 2018.
Insilico Medicine is regularly publishing research papers in peer-reviewed journals. The company was first to apply the generative adversarial networks (GANs) to generation of the new molecular structures with the specified parameters and published a seminal peer-reviewed paper submitted in June 2016. The concept was further extended and augmented with advanced memory and reinforcement learning. The paper published in Molecular Pharmaceutics in 2016 demonstrated the first proof of concept of the application of deep neural networks for predicting the therapeutic class of the molecule using the transcriptional response data, received the American Chemical Society Editors' Choice Award. One of the latest paper published in the Journals of Gerontologydemonstrated the application of the deep neural networks to assessing the biological age of the patients. 
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For further information, images or interviews, please contact:
Contact: Qingsong Zhu, PhD 
zhu@pharma.ai 
Website: insilico.com
About Insilico Medicine, Inc
Insilico Medicine is an artificial intelligence company headquartered at in Rockville, with R&D and management resources in Belgium, Russia, UK, Taiwan and Korea sourced through hackathons and competitions. The company and its scientists is dedicated to extending human productive longevity and transforming every step of the drug discovery and drug development process through excellence in biomarker discovery, drug development, digital medicine and aging research.
Insilico pioneered the applications of the generative adversarial networks (GANs) and reinforcement learning for generation of novel molecular structures for the diseases with a known target and with no known targets. In addition to working collaborations with the large pharmaceutical companies, the company is pursuing internal drug discovery programs in cancer, dermatological diseases, fibrosis, Parkinson's Disease, Alzheimer's Disease, ALS, diabetes, sarcopenia, and aging. Through a partnership with LifeExtension.com the company launched a range of nutraceutical products compounded using the advanced bioinformatics techniques and deep learning approaches. It also provides a range of consumer-facing applications including Young.AI.

In 2017, NVIDIA selected Insilico Medicine as one of the Top 5 AI companies in its potential for social impact. In 2018, the company was named one of the global top 100 AI companies by CB Insights. In 2018 it received the Frost & Sullivan 2018 North American Artificial Intelligence for Aging Research and Drug Development Award accompanied with the industry brief. Brief company video: https://www.youtube.com/watch?v=l62jlwgL3v8. http://www.insilico.com

Monday, June 4, 2018

Insilico to present the advances in AI and Blockchain for Healthcare at the AI in Healthcare Summit

Monday, June 4, 2018, Baltimore, MD - Insilico Medicine, a Baltimore-based company specializing in the application of next-generation artificial intelligence for drug discovery, biomarker development and aging research, announces the presentation of its CTO, Alexander Zhebrak, at the AI in Healthcare Summit, June 7, 2018, organized by Re-Work in Hong Kong.
Mr. Zhebrak's session "Longenesis: Returning the Control over Personal and Medical Data Back to the Individual Using Ai-Driven Blockchain Solutions" will focus on the development of blockchain-based health data escrow which uses AI to store, manage, and trade health data. The presentation will explore how Longenesis platform provides the access for patients to their private health data and ensures a safe, distributed trading of health data giving insights both for patients and healthcare products developers. 
"We are very happy to present our work at the AI in Healthcare Summit, which gathers many thought leaders in AI. The topic of AI for Healthcare is rapidly gaining popularity and we are happy to be at the leading edge of research and one of the innovation drivers in this area", said Alex Zhavoronkov, PhD, the founder and CEO of Insilico Medicine, Inc.
AI in Healthcare Summit is gathering key experts in speech and text recognition, neural networks, image classification and machine learning to discover advances in machine learning tools and techniques from the world's leading innovators across industry, academia and the healthcare sector. The summit aims to showcase the opportunities of advancing methods in deep learning and their impact across healthcare and medicine. The event will transpire on June 7-8.
Insilico Medicine is regularly publishing research papers in peer-reviewed journals. The company was first to apply the generative adversarial networks (GANs) to generation of the new molecular structures with the specified parameters and published a seminal peer-reviewed paper submitted in June 2016. The concept was further extended and augmented with advanced memory and reinforcement learning. The paper published in Molecular Pharmaceutics in 2016 demonstrated the first proof of concept of the application of deep neural networks for predicting the therapeutic class of the molecule using the transcriptional response data, received the American Chemical Society Editors' Choice Award. One of the latest paper published in the Journals of Gerontologydemonstrated the application of the deep neural networks to assessing the biological age of the patients. 
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For further information, images or interviews, please contact:
Contact: Qingsong Zhu, PhD 
zhu@pharma.ai 
Website: http://www.Insilico.com
About Insilico Medicine, Inc
Insilico Medicine, Inc. is an artificial intelligence company headquartered at the Emerging Technology Centers at the Johns Hopkins University Eastern campus in Baltimore, with R&D and management resources in Belgium, Russia, UK, Taiwan and Korea sourced through hackathons and competitions. 
The company utilizes advances in genomics, big data analysis, and deep learning for in silico drug discovery and drug repurposing for aging and age-related diseases. Insilico pioneered the applications of the generative adversarial networks (GANs) and reinforcement learning for generation of novel molecular structures for the diseases with a known target and with no known targets. In addition to working collaborations with the large pharmaceutical companies, the company is pursuing internal drug discovery programs in cancer, dermatological diseases, fibrosis, Parkinson's Disease, Alzheimer's Disease, ALS, diabetes, sarcopenia, and aging. Through a partnership with LifeExtension.com the company launched a range of nutraceutical products compounded using the advanced bioinformatics techniques and deep learning approaches. It also provides a range of consumer-facing applications including Young.AI and Aging.AI and operates Chemistry.AI intended to capture the tacit knowledge of medicinal chemists. 
Through a partnership with the BitFury Group, the company is working on a range of AI solutions for blockchain to help return the power over life data back to the individual. The company raised venture capital and partnered with Juvenescence Limited, a holding company focused on longevity biotechnology. The company aspires to become the "Bell Labs" for artificial intelligence and associated technologies for healthcare and longevity biotechnology and commercialize its research by forming subsidiaries around the specific technologies and licensing the intellectual property, molecules and data to the biotechnology and pharmaceutical companies. In 2017, NVIDIA selected Insilico Medicine as one of the Top 5 AI companies in its potential for social impact. In 2018, the company was named the one of the global top 100 AI companies by CB Insights. Brief company video: https://www.youtube.com/watch?v=l62jlwgL3v8

Tuesday, May 15, 2018

Leading blockchain groups partner to establish a new field of life data economics

Blockchain healthcare startup led by Harvard genomics professor George Church initiates a research collaboration with a leading blockchain and artificial intelligence healthcare company to establish the new fields of microdataeconomics and macrodataeconom
15th of May, 7AM PST, San Francisco, CA - Today several leaders in blockchain and artificial intelligence for healthcare data announced a collaboration to launch a new research field of life data economics. An exclusive research collaboration has been announced between Nebula Genomics, a San Francisco-based company co-founded by genomics pioneer George Church that is using blockchain to build a marketplace for genomic and clinical data, and Longenesis, a Hong Kong-based partnership between Insilico Medicine and the Bitfury Group that is applying deep learning and blockchain technologies to make a platform for the exchange of healthcare data. 
"By allowing individuals and large data providers such as biobanks to maintain ownership of their genomic data on our platform and profit from it, Nebula Genomics seeks to incentivize generation of genomic data. In doing so, we will gather the data on a single network where it can be conveniently and securely accessed by researchers. In other words, we will make a marketplace that will create an equitable and efficient economy for genomic data. Longenesis has built a similar platform that instead focuses on longitudinal health data, so our platforms complement one another very well" said Professor George Church, co-founder of Nebula Genomics and professor at both Harvard and MIT. 
The economy for life data is currently inefficient because data of a particular type is often fragmented across many different parties that each own some of the data. "Currently, acquiring genomic data is a slow and costly process, because researchers at pharma and biotech companies have to manually inquire about data availability, negotiate prices, sign contracts and make payments. We will use smart contracts to automate data acquisition and make it several orders of magnitude faster." said Dennis Grishin, CSO and co-founder of Nebula Genomics. ?
With limited access it also becomes difficult to determine the true value of the data because life data is often far more useful when analyzed in large quantities at once. Additionally, it is often impossible to determine the true value of a specific type of data unless it is analyzed in tandem with another type of data, which is also made difficult by the current fragmented state of the life data market. For example, genomic data is far more useful when paired with electronic health records to provide phenotypic information. 
"In the past, the value of human personal data was primarily defined by the profit potential from sales of goods and services. But with the advances in artificial intelligence and biotechnology we are moving into the new era where the various types of data collected over the lifetime can yield unprecedented healthcare benefits for the individual and for the economy. We need the new pricing and valuation models to assess the time-, timing-, relationship-, resolution- and combination-value of life data in the context of health and longevity. We need the equivalent of the Black-Scholes model, to assess the value of and to price data, but with the many more "greeks" and orders of magnitude more complex. The intimate partnership with the Nebula Genomics team will help take this research to a new level", said Alex Zhavoronkov, PhD, the founder and CEO of Insilico Medicine and CSO of Longenesis. 
Nebula Genomics, Longenesis, Bitfury and Insilico Medicine seek to create platforms that utilize blockchain technology to establish a more efficient and equitable economy for the exchange of life data. Nebula Genomics, co-founded by Harvard Medical School professor and genomics pioneer Dr. George Church along with Harvard researchers Kamal Obbad and Dennis Grishin, is building a platform that allows individuals to have their genomes sequenced and opt to provide them to data buyers directly through a secure blockchain-based network. The platform will eventually support other types of clinical data as well. Longenesis is developing a platform that uses Artificial Intelligence (AI) tools developed in collaboration with Insilico Medicine to store and exchange health-related data such as lab test results. The approach used by Longenesis research on the basic aspects of human life data economics was published in a peer-reviewed journal and the platform has launched in alpha and established proof of concept over a year-long pilot. Through this collaboration, the Longenesis network will be incorporated into the Nebula Genomics network while both teams continue working together on the development of the platforms.
The collaboration will be geared towards determining the true value of life data. In approaching this problem, the groups will establish two new fields. The first is microdataeconomics, the study of the value of life data that is used for drug discovery such as proteomics or data regarding the structure and activity of specific molecules, both in vitro and in vivo. The second is macrodataeconomics, the study of the value of life data that is used to determine human health such as electronic health records and genomics. The combined Nebula Genomics / Longenesis platform will help determine the value of life data by bringing huge amounts of data of many different types onto a single platform where it can be conveniently and securely accessed by researchers.
"We are very happy to join forces with the Nebula Genomics team to unlock the value of data in many new and previously unimaginable ways. Today, the data is being valued for its utility to generate sales revenue or using the cost to generate the data as a base. But in the context of healthcare and preventative medicine the value of the data and the way we collect and combine it will be dramatically different. This joint effort is likely to contribute to the global economic growth", said Garry Zmudze, the co-founder and managing director of Longenesis. 
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For further information, images or interviews, please contact:
Contact: Qingsong Zhu, PhD zhu@pharma.ai
Contact: Armon Rahim arahim@nebulagenomics.io
About Insilico Medicine, Inc
Insilico Medicine, Inc. is an artificial intelligence company headquartered at the Emerging Technology Centers at the Johns Hopkins University Eastern campus in Baltimore, with R&D and management resources in Belgium, Russia, UK, Taiwan and Korea sourced through hackathons and competitions. The company and its scientists is dedicated to extending human productive longevity and transforming every step of the drug discovery and drug development process through excellence in biomarker discovery, drug development, digital medicine and aging research. 
Insilico pioneered the applications of the generative adversarial networks (GANs) and reinforcement learning for generation of novel molecular structures for the diseases with a known target and with no known targets. In addition to working collaborations with the large pharmaceutical companies, the company is pursuing internal drug discovery programs in cancer, dermatological diseases, fibrosis, Parkinson's Disease, Alzheimer's Disease, ALS, diabetes, sarcopenia, and aging. Through a partnership with LifeExtension.com the company launched a range of nutraceutical products compounded using the advanced bioinformatics techniques and deep learning approaches. It also provides a range of consumer-facing applications including Young.AI.
In 2017, NVIDIA selected Insilico Medicine as one of the Top 5 AI companies in its potential for social impact. In 2018, the company was named one of the global top 100 AI companies by CB Insights. Brief company video: https://www.youtube.com/watch?v=l62jlwgL3v8 http://www.Insilico.com
About Nebula Genomics
Nebula Genomics is a blockchain healthcare company based in San Francisco. It is co-founded by Harvard Medical School Professor and genomics pioneer Dr. George Church along with Harvard researchers Kamal Obbad and Dennis Grishin.
The company aims to build a marketplace for genomic and other health-related data that consists of a blockchain-based, peer-to-peer network to which individuals or data aggregators such as biobanks can upload their genomic data. They can then directly and securely connect with data buyers and receive payment for their data. The Nebula model reduces enhances protection of personal genomic data and satisfies the needs of data buyers in regards to data availability, data acquisition logistics, and resources needed for genomic big data.
About Longenesis
Longenesis is a result of a partnership between the leader in artificial intelligence for healthcare, Insilico Medicine and the leader in blockchain, BitFury intended to return control over life data back to the individuals. The mission of Longenesis is to improve human performance, extend life, prevent disease and make all people wealthier by developing a decentralized ecosystem for exchange and utilization of human life data using the latest advances in blockchain and artificial intelligence. The Longenesis platform has been in development since August 2017 without engaging in any crypto fundraising activities. For more information visit: http://www.longenesis.com
About BitFury 
The Bitfury Group is the leading full-service blockchain technology company and one of the largest private infrastructure providers in the blockchain ecosystem. The Bitfury Group develops and delivers both the software and the hardware solutions necessary for businesses, governments, organizations and individuals to securely move an asset across the blockchain. The expertise of the Bitfury Group ensures successful, easy, fast, secure and cost-effective connectivity to the blockchain. Bitfury is a global team of experts in technology, business, communications, security and civil society. Bitfury believes the blockchain will open new doors for global economic opportunity and prosperity, and its mission is to create and advance blockchain applications that will further promote innovation and the advancement of the peer-to peer economy. 

Sunday, May 13, 2018

Longenesis to present the latest advances in Blockchain and AI for healthcare at the Consensus 2018

Thursday, May 10, 2018, Baltimore, MD - Longenesis, a Hong Kong-based leader in applying the latest advances in deep learning and blockchain technologies to healthcare announces the presentation of its co-founder, Alex Zhavoronkov, at the Consensus 2018 Conference, organised by CoinDesk, on May 16, 2018, New York, USA.
Dr. Zhavoronkov's talk "Longenesis - Personal Data Escrow" will be devoted to the development of blockchain-based health data escrow which utilize AI to store, manage, and trade health data. The presentation will focus on how Longenesis provides the access for patients to their private health data and ensures a safe, distributed platform for trading health data giving insights both for patients and healthcare products developers. 
"We are very happy to present our work at the Consensus 2018, which gathers many blockchain thought leaders. The topic of AI and blockchain for healthcare is rapidly gaining popularity and we are happy to be at the leading edge of research and one of the innovation drivers in this area", said Alex Zhavoronkov, PhD, the founder and CEO of Insilico Medicine, Inc.
The Consensus 2018 is an annual blockchain technology summit gathering more than 250 speakers and over 4,000 attendees from the leading industry startups, investors, financial institutions, enterprise tech leaders, and academic and policy groups who are building the foundations of the blockchain and digital currency economy. The event will transpire on May 14-16, 2018.
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About Longenesis, Ltd
Longenesis is a result of a partnership between the leader in artificial intelligence for healthcare, Insilico Medicine and the leader in blockchain, Bitfury intended to return control over life data back to the individuals. The mission of Longenesis is to improve human performance, extend life, prevent disease and make all people wealthier by developing a decentralized ecosystem for exchange and utilization of human life data using the latest advances in blockchain and artificial intelligence. The Longenesis platform and the LifePound crypto token have been in development since August 2017 without engaging in any crypto fundraising activities. For more information visit: http://www.longenesis.com

Wednesday, April 18, 2018

Insilico to present the advances in Artificial Intelligence for African pharmaceutical industry

Wednesday, April 118th, 2018, Baltimore, MD - Insilico Medicine, a Baltimore-based company specializing in the application of artificial intelligence for drug discovery, biomarker development and aging research, announces the presentation of its Africa AI, Blockchain and Longevity Consultant, Iraneus Ogu, at the International Conference on e-Education, e-Business, e-Management and e-Learning (ICEBML-18), April 19, 2018, Johannesburg, South Africa.
Ogu's talk "Building the African pharmaceutical industry and the future of longevity with next-generation artificial intelligence" will cover the latest advances in AI tending to commence a revolution in African biopharmaceutical industry and become a growth engine for R&Din local pharmaceutical companies. The presentation will also be dedicated to the challenges of African pharmaceutical sector and to the educational opportunities for building the strong local teams interested in the application of AI to drug discovery.
"We are very happy to present our work at the ICEBML-18, which bring together many African experts from pharmaceutical and biotech industry as well as from education. The topic of Artificial Intelligence for pharma R&D is rapidly gaining popularity and we are happy to be at the leading edge of research and one of the innovation drivers in this area", said Alex Zhavoronkov, PhD, the founder and CEO of Insilico Medicine, Inc.
"The digital revolution in healthcare provided the tremendous amount of data that are generated daily, and these data could be used for development of various healthcare products. There is a strong need to develop better solutions to many global healthcare challenges, especially to many local challenges in Africa. In Insilico we aim to converge the advances in next-generation artificial intelligence and blockchain to accelerate the development of multiple products for healthcare needs", said Iraneus Ogu, Africa AI, Blockchain and Longevity Consultant of Insilico Medicine, Inc.
The ICEBML-18 is an international conference devoted to the advancement of theory and practices in education. The event gathers the prominent experts promoting the collaborative excellence between academicians and professionals from Education. The conference organizers aim to provide an international platform to engage developers and researchers in the scientific discussion about current research and latest advances in engineering and technology that facilitate the exchange of new ideas in Africa. The event will transpire on April 19, 2018. 
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Insilico Medicine is regularly publishing research papers in peer-reviewed journals. The company was first who applied deep generative adversarial networks (GANs) to the generation of new molecular structures with specified parameters and published seminal papers in Oncotarget and Molecular Pharmaceutics. The paper published in Molecular Pharmaceutics in 2016 demonstrated the proof of concept of the application of deep neural networks for predicting the therapeutic class of the molecule using the transcriptional response data, received the American Chemical Society Editors' Choice Award. A recent paper published in November 2017 described the application of the next-generation AI and blockchain technologies to return the control over personal data back to the individual. One of the latest papers published in the Journals of Gerontologydemonstrated the application of the deep neural networks to assessing the biological age of the patients. The most recent paper published in Oncotarget presented the roadmap to enhancing radioresistance for space exploration and colonization.
For further information, images or interviews, please contact:
Contact: Qingsong Zhu, PhD 
zhu@pharma.ai 
Website: http://www.Insilico.com
Official Conference Websites: http://researchsociety.co
About Insilico Medicine, Inc
Insilico Medicine, Inc. is an artificial intelligence company headquartered at the Emerging Technology Centers at the Johns Hopkins University Eastern campus in Baltimore, with R&D and management resources in Belgium, Russia, UK, Taiwan and Korea sourced through hackathons and competitions. 
The company utilizes advances in genomics, big data analysis, and deep learning for in silico drug discovery and drug repurposing for aging and age-related diseases. Insilico pioneered the applications of the generative adversarial networks (GANs) and reinforcement learning for generation of novel molecular structures for the diseases with a known target and with no known targets. In addition to working collaborations with the large pharmaceutical companies, the company is pursuing internal drug discovery programs in cancer, dermatological diseases, fibrosis, Parkinson's Disease, Alzheimer's Disease, ALS, diabetes, sarcopenia, and aging. Through a partnership with LifeExtension.com the company launched a range of nutraceutical products compounded using the advanced bioinformatics techniques and deep learning approaches. It also provides a range of consumer-facing applications including Young.AI and Aging.AI and operates Chemistry.AI intended to capture the tacit knowledge of medicinal chemists. 
Through a partnership with the BitFury Group, the company is working on a range of AI solutions for blockchain to help return the power over life data back to the individual. The company raised venture capital and partnered with Juvenescence Limited, a holding company focused on longevity biotechnology. The company aspires to become the "Bell Labs" for artificial intelligence and associated technologies for healthcare and longevity biotechnology and commercialize its research by forming subsidiaries around the specific technologies and licensing the intellectual property, molecules and data to the biotechnology and pharmaceutical companies. In 2017, NVIDIA selected Insilico Medicine as one of the Top 5 AI companies in its potential for social impact. In 2018, the company was named one of the global top 100 AI companies by CB Insights. Brief company video: https://www.youtube.com/watch?v=l62jlwgL3v8