BERG is attempting to identify genetic predisposition to certain conditions using machine learning with promising Phase I study results

BERG is developing targeted cancer drugs using machine learning with promising Phase I study results

Cambridge researchers develop a system to analyse cancer research papers to discover previously unexplored molecular biology links

DeepMind develops a highly accurate machine learning method for predicting protein structures

GlaxoSmithKline (GSK) plans to accelerate drug discovery as well as new applications for existing drugs using machine learning

GlaxoSmithKline (GSK) plans to reduce drug discovery to trial time from six years to 12 months using machine learning models to predict molecular behaviour

Healx's scientist predicts effectiveness of combinations of antibiotics using machine learning

MIT scientists develop system that crowdsources data to speed up drug discovery using neural networks

Pfizer identifies new potential cancer treatments using IBM Watson

Researchers at Stanford University develop an approach for modeling polypharmacy side effects with graph convolutional networks outperforming baselines by up to 69%

Researchers at University of Lisbon accelerate drug discovery with the use of machine learning

Roche plans to reduce time-to-market for oncology medicine by streamlining clinical trial process with machine learning

Takeda and ConvergeHEALTH aim to better understand how treatment-resistant depression responds to medication using deep learning models

Takeda partners with Numerate to improve pharmaceutical clinical trial efficiency by using AI to inform design decisions

The Good Doctor Pharmaceutical Group's farm achieves manufacturing efficiency in breeding cockroaches for medicinal purposes through an AI-powered smart system

University of Glasgow researchers predict virus reservoir hosts with 83.5% accuracy and provide hypotheses about unknown viral vectors

AstraZeneca plans to crack down on online sale of counterfeit drugs in China using machine learning and natural language processing

DayTwo improves blood sugar management through personalised diet recommendations based on gut microbiome analysis using machine learning

AstraZeneca improves internal management of its global data sources through organisation, search and information extraction using an AI platform

Pharmaceutical company identifies warnings for non-Hodgkin’s lymphoma patients requiring change of treatment using machine learning

Sanofi Pasteur plans to make vaccines more effective by assessing biomarkers of influenza vaccination outcomes with machine learning

Abbvie achieves 90% cumulative medication adherence among patients with schizophrenia using image recognition

Novartis researchers train algorithm to identify different cell types to spot cancer in scans

The U.S. Organ Procurement and Transplantation Network is saving lives by matching kidney donors and recipients using algorithms built by AI researchers

University of Pittsburgh Medical Center (UPMC) improves hospital supply chain performance to achieve 92% on-time payments with AI

HealthMap analyses social media and publicly available healthcare data to detect and predict outbreaks around the globe

Imagen Tech's Osteodetect platform which uses deep learning to detect wrist fractures has acquired FDA approval

Johns Hopkins Hospital improves patient monitoring and resource allocation in ER and critical care units in real-time using machine learning

Kaiser Parmanente increases construction labour productivity by 38% and saves 11% from the initial construction budget with machine vision and analytics

Kaiser Permanente predicts probability of rapid deterioration of patient condition and alerts physicians using machine learning