Deep Longevity Launches The First Longevity Medicine Course For Physicians

Regent Pacific Group Limited ("Regent Pacific" or the "Company" and together with its subsidiaries, the "Group"; SEHK:0575.HK)'s Deep Longevity, Inc, a company subject to a conditional acquisition by the Group which is a pioneer in deep biomarkers of aging and longevity today announced the launch of the first Longevity Medicine course for Physicians on LabXchange Platform. It is the first of several Longevity Medicine chapters, with upcoming courses scaled for scientists and patients.

This course is aimed to fill the educational gap in translation longevity medicine. Deep Longevity, a leader in artificial intelligence for the development of biomarkers of aging and longevity, brought together scientists and physicians engaged in basic and translational research to develop the course: "Longevity Medicine for Physicians". The course covers basics in translational aging research from terminology and demographic aspects, theories and hallmarks of aging, basic aging pathways and mechanisms behind the possibly geroprotective interventions and covers the various types of aging clocks.

The course is intended for medical professionals and students, who have limited time and seek a comprehensive, well-structured, reliable course. It contains three hours of core lectures providing an introduction to the field, lecture slides, lecture notes, quizzes, guest lectures, as well as references to additional reading materials and online resources. Introduction to Longevity Medicine is the first course in a series intended to provide advanced physicians with the latest approaches in longevity technology.

"As we are partnering with the advanced clinical institutions we see the gap between translational research and clinical practice and would like to provide the MDs with the resources they need to get into the rapidly growing field of longevity medicine, learn about the latest advances in artificial intelligence and in the pharmaceutical industry", said Alex Zhavoronkov, PhD, the founder of the Longevity Medicine course and Chief Longevity Officer at Deep Longevity.

"While much-scattered information is available from more or less evidence-based sources, there was a lack of a structured, guided and well organized course that provides physicians with the necessary background information on this rapidly evolving discipline of healthy longevity. This is why we developed this very first course in Longevity Medicine - to close this gap and provide understandable and practicable, credible resources for clinicians", said Evelyne Bischof, MD, co-founder of the course.

Earlier this year, Deep Longevity received investments from expert longevity investment funds related to clinical organizations and is currently subject to a conditional acquisition by Regent Pacific Group Limited (SEHK:0575.HK), a public company whose securities are listed on The Stock Exchange of Hong Kong Limited. It also announced a partnership with Human Longevity Inc, one of the world's most advanced centers for preventative diagnostic medicine. Since then, it has partnered with several other advanced clinics and hospitals.

For details of the course, please visit: longevity-medicine.org  

This press release is distributed by LBS Communications Consulting Limited.

About Deep Longevity

Deep Longevity is subject to a conditional acquisition by Regent Pacific Group Limited (SEHK:0575.HK), a public company whose securities are listed on The Stock Exchange of Hong Kong Limited. Deep Longevity is developing explainable artificial intelligence systems to track the rate of aging at the molecular, cellular, tissue, organ, system, physiological, and psychological levels. It is also developing systems for the emerging field of longevity medicine enabling physicians to make better decisions on the interventions that may slow down, or reverse the aging processes. Deep Longevity developed Longevity as a Service (LaaS)© solution to integrate multiple deep biomarkers of aging dubbed "deep aging clocks" to provide a universal multifactorial measure of human biological age. Originally incubated by Insilico Medicine, Deep Longevity started its independent journey in 2020 after securing a round of funding from the most credible venture capitalists specializing in biotechnology, longevity, and artificial intelligence. ETP Ventures, Human Longevity and Performance Impact Venture Fund, BOLD Capital Partners, Longevity Vision Fund, LongeVC, co-founder of Oculus, Michael Antonov, and other experts AI and biotechnology investors supported the company. Deep Longevity established a research partnership with one of the most prominent longevity organizations, Human Longevity, Inc. to provide a range of aging clocks to the network of advanced physicians and researchers.
http://longevity.ai/

About Regent Pacific (SEHK: 0575.HK)

Regent Pacific is a diversified investment group based in Hong Kong currently holding various corporate and strategic investments focusing on the healthcare, wellness, and life sciences sectors. The Group has a strong track record of investments and has returned approximately US$298 million to shareholders in the 21 years of financial reporting since its initial public offering.
http://www.regentpac.com/

Merck KGaA, Darmstadt, Germany to deploy Insilico Medicine's Chemistry42 AI platform

Insilico Medicine announces the first deployment of its flagship generative chemistry AI platform for de novo molecular design, Chemistry42™ on Merck KGaA, Darmstadt, Germany's high-performance computing infrastructure

November 17, 2020, 9:00AM EST-- Following the release of Chemistry42 to a select group of key experts in the pharmaceutical industry in Q3 2020, Insilico Medicine is proud to announce that Merck KGaA, Darmstadt, Germany will be the first launch partner for its flagship generative chemistry artificial intelligence (AI) platform - Chemistry42. Merck KGaA, Darmstadt, Germany will integrate Chemistry42™ into their discovery pipeline to facilitate rapid and effective drug design. Chemistry42 v1.0 will be customized and deployed on state-of-the-art high-performance computing (HPC) infrastructure at Merck KGaA, Darmstadt, Germany.

"We are very happy to have Merck KGaA, Darmstadt, Germany sign on as our very first launch partner as they have substantial experience in the field of AI-powered drug discovery internally and built a world-class computing infrastructure," said Alex Zhavoronkov, PhD, founder, and CEO, Insilico Medicine.

Since the publication of Ian Goodfellow's original paper on generative adversarial networks (GANs) in 2014, Insilico Medicine has been developing generative chemistry and generative biology algorithms. In 2016, Insilico Medicine published the first peer-reviewed publication describing the application of GANs to small molecule discovery in oncology. Between 2016 and 2020 Insilico Medicine authored over 40 papers and has been granted several patents in this field. Insilico Medicine has conducted several proof of concept validation experiments that demonstrate that generative models can successfully identify novel targets, and design molecules with desired properties that can be synthesized and tested in vitro and in vivo. 

"We're excited to continue to deploy the latest tools in AI," said Joern-Peter Halle, Global Head of Research for the Healthcare business sector of Merck KGaA, Darmstadt, Germany. "AI has the potential to transform the drug discovery process and Insilico Medicine is at the forefront of exciting AI techniques, such as this generative chemistry AI platform."

Chemistry42™ is a core part of Insilico's Pharma.ai drug discovery suite. It is a flexible, user-friendly software platform that bridges artificial intelligence (AI) and machine learning methods with domain expertise in the fields of medicinal and computational chemistry, for the design of novel small molecules with desirable physicochemical properties. The platform is a scalable distributed web application, capable of running multiple tasks in parallel in a matter of hours. Container orchestration and workflow management allow for predictable hardware-agnostic resource allocation, and for the implementation on either cloud or local HPC infrastructures.

"Chemistry42 v1.0 is the result of years of comprehensive research in generative chemistry, close collaboration between computational and medicinal chemistry scientists, and best high-performance computing engineering practices. We are excited to work closely with Merck KGaA, Darmstadt, Germany and look forward to demonstrating the impact of our collaboration on their drug discovery programs," said Alex Zhebrak, PhD, CTO of Insilico Medicine.

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About Merck KGaA, Darmstadt, Germany

Merck KGaA, Darmstadt, Germany, a leading science and technology company, operates across healthcare, life science and performance materials. Around 57,000 employees work to make a positive difference to millions of people's lives every day by creating more joyful and sustainable ways to live. From advancing gene editing technologies and discovering unique ways to treat the most challenging diseases to enabling the intelligence of devices - the company is everywhere. In 2019, Merck KGaA, Darmstadt, Germany, generated sales of € 16.2 billion in 66 countries.

The company holds the global rights to the name and trademark "Merck" internationally. The only exceptions are the United States and Canada, where the business sectors of Merck KGaA, Darmstadt, Germany operate as EMD Serono in healthcare, MilliporeSigma in life science, and EMD Performance Materials. Since its founding in 1668, scientific exploration and responsible entrepreneurship have been key to the company's technological and scientific advances. To this day, the founding family remains the majority owner of the publicly listed company.

About Insilico Medicine

Insilico Medicine develops software that leverages generative models, reinforcement learning (RL), and other modern machine learning techniques for the generation of new molecular structures with specific properties. Insilico Medicine also develops software for the generation of synthetic biological data, target identification, and the prediction of clinical trials outcomes. The company integrates two business models; providing AI-powered drug discovery services and software through its Pharma.AI platform (http://www.insilico.com/platform/) and developing its own pipeline of preclinical programs. The preclinical program is the result of pursuing novel drug targets and novel molecules discovered through its platforms. Since its inception in 2014, Insilico Medicine has raised over $52 million and received multiple industry awards. Insilico Medicine has also published over 100 peer-reviewed papers and has applied for over 25 patents. Website http://insilico.com/

Media Contact

For further information, images, or interviews, please contact: ai@insilico.com

Insilico Medicine rebrands Pandomics as PandaOmics, releases a new version

Insilico Medicine introduces new features in its new target discovery platform and announces a name change from Pandomics to PandaOmics

 Thursday, November 12, 2020 -- Insilico Medicinetoday announced the release of a new version of its flagship AI-powered biological target discovery system and a name change from Pandomics to PandaOmics. The original name intended to reflect that the system will handle all (pan-) omics data types and integrated the company mascot - Panda (in 2016 the company published its iPANDA algorithm for dimensionality reduction); however, due to the coronavirus pandemic, the Pandomics name got closely associated with pandemics, and the company is in the process of renaming the system. 

The PandaOmics v1.02 has multiple bug fixes and several additional features requested by the customers: 

1. Omics dataset search by therapeutic area name;

2. The ability to create meta-analysis for several Omics datasets.

3. Target ID - a collection of AI based scores that proposes actionable targets based on molecular data (analysed in PandaOmics) and previously published text-based data.

"A lot of effort has been put in the development of PandaOmics therapeutic target discovery platform. Despite the name change, we will preserve our high quality of standards and ensure that the platform will help even larger number of researchers with their drug discovery programs", said Ivan Ozerov, Target Discovery Director at Insilico Medicine, responsible for PandaOmics development from its early onset.

"While the majority of the customers got used to and liked the name Pandomics, due to COVID-19 the popular search engines started autocorrecting the name to pandemics, and we decided to make this change. Panda remains our company's mascot and we are making a minor change to the name - PandaOmics. The system is designed to provide the biomedical community with the ability to identify biological targets using gene and protein expression data as well as other data types, evaluating the novelty, assessing and annotating these targets, and performing virtual validation of these targets using prior knowledge", said Alex Zhavoronkov, PhD, CEO of Insilico Medicine. 

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For further information, images or interviews, please contact: ai@insilico.com

About Insilico Medicine

Since 2014 Insilico Medicine is focusing on generative models, reinforcement learning (RL), and other modern machine learning techniques for the generation of new molecular structures with the specified parameters, generation of synthetic biological data, target identification, and prediction of clinical trials outcomes. Recently, Insilico Medicine secured $37 million in series B funding. Since its inception, Insilico Medicine raised over $52 million, published over 100 peer-reviewed papers, applied for over 25 patents, and received multiple industry awards. Website http://insilico.com/

Insilico announces a multi-target AI-powered drug discovery collaboration with Janssen

Insilico Medicine, a leader in deep generative reinforcement learning for target discovery, small molecule generation, and prediction of clinical trial outcomes, today announced that it entered into a multi-target drug discovery agreement with Janssen Pharmaceutica N.V. (Janssen), one of the Janssen Pharmaceutical Companies of Johnson & Johnson. The collaboration was facilitated by Johnson & Johnson Innovation LLC. 

Under the terms of the agreement, Insilico Medicine will design small molecule hits with the defined properties for several targets nominated by Janssen and to receive upfront and milestone payments. Insilico Medicine will demonstrate the discovery process and detailed platform capabilities. 

"We are very happy to collaborate with Janssen, one of the leading and most innovative companies in the field of drug discovery. Since 2019 Insilico Medicine has been a resident of Johnson & Johnson Innovation – JLABS which facilitated closer communication with the scientists at Janssen and other companies in the ecosystem and we see this collaboration as a "graduation" from JLABS", said Alex Zhavoronkov, PhD, founder, and CEO of Insilico Medicine.

Since 2015 Insilico Medicine pioneered the field of generative adversarial networks and reinforcement learning for generative chemistry and generative biology and published multiple research publications and patents in the area including proof-of-concept studies with experimental validation. In 2020 it unveiled the Chemistry42 generative chemistry operating system and made first on-site deployments with the big pharmaceutical companies and drug discovery partnerships. 

"We are very happy to collaborate with Janssen, one of the leading and most innovative companies in the field of drug discovery. Since 2019 Insilico Medicine has been a resident of Johnson & Johnson Innovation – JLABS which facilitated closer communication with the scientists at Janssen and other companies in the ecosystem and we see this collaboration as a "graduation" from JLABS", said Alex Zhavoronkov, PhD, founder, and CEO of Insilico Medicine.

About Insilico Medicine

Insilico Medicine develops software that leverages generative models, reinforcement learning (RL), and other modern machine learning techniques for the generation of new molecular structures with specific properties. Insilico Medicine also develops software for the generation of synthetic biological data, target identification, and the prediction of clinical trials outcomes. The company integrates two business models; providing AI-powered drug discovery services and software through its Pharma.AI platform (www.insilico.com/platform/) and developing its own pipeline of preclinical programs. The preclinical program is the result of pursuing novel drug targets and novel molecules discovered through its platforms. Since its inception in 2014, Insilico Medicine has raised over $52 million and received multiple industry awards. Insilico Medicine has also published over 100 peer-reviewed papers and has applied for over 25 patents. Website http://insilico.com/

Contact: ai@insilico.com

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http://insilico.com/