NEW YORK /PRNewswire/ -- Insilico Medicine is pleased to announce that it has entered into a research collaboration with Pfizer Inc. (NYSE: PFE) to utilize Insilico's machine learning technology and proprietary Pandomics Discovery Platform with the aim of identifying real-world evidence for potential therapeutic targets implicated in a variety of diseases.
"Insilico is advancing its latest target identification systems utilizing machine learning, generative biology methods, and synthetic data generation pipelines, and we are pleased to be collaborating with Pfizer on its target identification efforts," saidAlex Zhavoronkov, PhD, founder, and CEO of Insilico Medicine.
"We look forward to working with Insilico as Pfizer continues to explore new technologies that may be able to help us identify targets and biomarkers that could assist in our discovery programs, and potentially lead to breakthrough therapeutics for patients with unmet medical needs," saidMorten Sogaard, Vice President, Target Sciences, Pfizer.
Nice Insight, established in 2010, is the research division of That’s Nice, A Science Agency, providing data and analysis from proprietary annual surveys, custom primary qualitative and quantitative research as well as extensive secondary research. Current annual surveys include The Nice Insight Contract Development & Manufacturing (CDMO/CMO), Survey The Nice Insight Contract Research - Preclinical and Clinical (CRO) Survey, The Nice Insight Pharmaceutical Equipment Survey, and The Nice Insight Pharmaceutical Excipients Survey.
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 Medicinepublished some of the results in Nature Biotechnology, and secured$37 millionin series B funding. Since its inception, Insilico Medicine raised over$52 million, published over 70 peer-reviewed papers, applied for over 20 patents, and received multiple industry awards.