Credit: Insilico Medicine
Thursday, the 30th of September, 2018, Rockville, MD – Insilico Medicine, a Rockville-based company specializing in the application of next-generation artificial intelligence for drug discovery, biomarker development and aging research, is pleased to announce the talk of Polina Mamoshina, a senior research scientist at Insilico Medicine at the 68th British Society for Research on Ageing annual scientific meeting.
The BSRA meeting will take place at Oriel College, Oxford on the 6-8th September 2018. The BSRA is committed to funding, supporting and disseminating high-quality research into the biology of ageing. Support is available for active researchers with substantive posts at any UK institution or research institutes which are interested in the biology of ageing and who would normally be eligible for membership of the BSRA.
Polina Mamoshina's talk "Applications of deep neural networks to human ageing biomarker development" on the 8th of September, 2018 will be concentrated on using AI to identify useful, cheap and available biomarkers.
"I am really fascinated by the opportunity to present some of our recent research at one of the oldest Ageing Research Society annual meeting. At Insilico, we are working on comprehensive and robust biomarkers of ageing developed using deep learning and blood biochemistry, transcriptomics, and even imaging data to be able to track the effectiveness of the various interventions we are developing", said Polina Mamoshina, a senior research scientist at Insilico Medicine.
Professor Lynne S. Cox, PhD, noted: "I am delighted that Polina Mamoshina has agreed to speak at the upcoming British Society for Research on ageing annual scientific meeting that I am organising in Oxford from 6-8th September. The conference will address how current ageing research is leading to transformative treatments for age-related disease, and will include updates from exciting new clinical trials on novel anti-ageing drugs. Polina's use of AI to identify clinically useful biomarkers for ageing has huge potential in this context; such biomarkers are needed for diagnosis, prognosis and therapeutic monitoring of new anti-ageing treatments. Her contribution to the meeting will be greatly valued".
The work of Polina Mamoshina and colleagues at Insilico Medicine may help improve clinical trial enrollment practices, assess the population specificity of a variety of the biomarkers and pave the way for the development of more complex multi-modal biomarkers of aging and disease.
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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 Gerontology demonstrated the application of the deep neural networks to assessing the biological age of the patients.
For further information, images or interviews, please contact:
Contact: Qingsong Zhu, PhD
[email protected]
Website: http://www.insilico.com
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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
Media Contact
Qingsong Zhu
[email protected]
443-451-7212
@InSilicoMeds
http://www.insilicomedicine.com
