BOSTON and TEL-AVIV, Israel, June 7, 2023 - Quris-AI announced today the publication of a peer-reviewed article titled, “Pharma’s Bio-AI Revolution,” in Drug Discovery Today, an authoritative source of high-impact scientific research.
The scientific paper provides a thorough analysis of the artificial intelligence (AI) revolution happening in pharma – from longstanding drug development hurdles, recent regulatory shifts moving beyond animal testing, and the evolution of technologies that are disrupting the drug development status quo. It also explores ways advanced Bio-AI platforms can solve the core clinical prediction challenge – predicting, before expensive clinical trials, which drug candidates will work safely and efficaciously in the human body.
Diving into the specific challenges and opportunities of each technology (from organoids and nano-sensors, to machine learning and AI) and the needed shifts within the pharma industry to effectively apply Bio-AI advances, Dr. Bentwich shares his take on how Bio-AI will drastically cut the time and cost of developing safe drugs.
“Bio-AI will help overcome pharma’s greatest challenge,” noted Dr. Bentwich. “Advances in technology will close the clinical prediction gap in the years ahead – not only making predicting drug safety more accurate, faster and economical, but also breaking down barriers for personalized medicine and rare disease cures.”
About Quris-AI
Quris-AI, the world’s first Bio-AI clinical-prediction platform, ensures the safety of new drugs. Revolutionizing the drug development process, the company is pioneering clinical trials on chips – testing thousands of novel drug candidates on hundreds of miniaturized “patients-on-a-chip.” Its fully automated, self-training AI platform accurately predicts clinical safety for novel drugs faster and more cost effectively than ever before – all while minimizing animal testing. Dual-headquartered in Boston and Israel and backed by strategic biotech and big data investors, Quris is led by a proven team of AI and medical research powerhouses who are already preparing its lead discovery for clinical trials. For more information, visit www.quris.ai.
Journal
Drug Discovery Today
Method of Research
Literature review
Subject of Research
Not applicable
Article Title
Pharma's Bio-AI Revolution
Article Publication Date
28-May-2023