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Artificial Intelligence Yields Early Results in Drug Discovery

Artificial Intelligence Yields Early Results in Drug Discovery

A historically significant milestone has just been reached by Oxford, UK-based Exscientia, which used its artificial intelligence (AI)-based drug discovery platform Centaur Chemist™ to deliver the first drug candidate in the framework of their multiyear collaboration with GSK. This AI-derived small molecule is a highly potent in vivo active substance targeting a novel pathway for the treatment of chronic obstructive pulmonary disease (COPD). The milestone is among first early successes in drug discovery associated with the recent adoption of novel machine learning/AI methods and workflows.

Telemedicine stands to offer new horizons to healthcare solution landscape

Telemedicine stands to offer new horizons to healthcare solution landscape

Technology has lately been transforming the face of healthcare with each milestone invention. Telemedicine, a term which is often used interchangeably with telehealth and connected health, has been one of the most revolutionizing aspects in healthcare of late, though the idea of contacting a healthcare professional over the telephone appeared in medical literature as far back as the time when Alexander Graham Bell first invented the telephone.

Intelligent Automation Week Chicago

   by BiopharmaTrend
posted in Events
Intelligent Automation Week Chicago

IA Week is back in Chicago with inspiring and forward thinkers on an agenda jam-packed with knowledge to bring back to your organization. This event offers a customizable agenda suited to fit your needs. Filled with interactive workshops, mind-blowing keynotes, and 13+ hours of connecting with your peers, IA Week is a must attend for any professional on their IA journey.

AI Applications Summit Biopharma 2019

   by BiopharmaTrend
posted in Events
AI Applications Summit Biopharma 2019
A ‘who’s who’ of AI in Biopharma

This event is where the industry’s top science minds, AI technology experts and strategy leaders meet to share detailed use cases of AI in drug discovery, clinical development and real-world evidence, in order to improve patients’ lives.

Assessing Productivity of Pharmaceutical AI: Any Results Beyond Hype?

Assessing Productivity of Pharmaceutical AI: Any Results Beyond Hype?

A background context -- opportunities and challenges

Current widespread interest towards artificial intelligence (AI) and its numerous research and commercial successes was largely catalyzed by several landmark breakthroughs in 2012, when researchers at the University of Toronto achieved unprecedented improvement in the image classification challenge ImageNet, using their deep neural network “AlexNet” running on graphics processing units (GPUs), and when that same year Google’s deep neural network managed to identify a cat from millions of unlabeled Youtube videos, representing a conceptual step in unsupervised machine learning.