Pharma & Biotech
Use Cases
AI Daily Brief
Newsfor Pharma & Biotech
Sort by
All Pharma & Biotech AI Use Cases
Pharma & Biotech Case Studies
Abbvie achieves 90% cumulative medication adherence among patients with schizophrenia using image recognitionAstraZeneca improves internal management of its global data sources through organisation, search and information extraction using an AI platformAstraZeneca plans to crack down on online sale of counterfeit drugs in China using machine learning and natural language processingBERG is attempting to identify genetic predisposition to certain conditions using machine learning with promising Phase I study resultsBERG is developing targeted cancer drugs using machine learning with promising Phase I study resultsBayer aims to spot drug-associated side effects earlier with the use of machine learning, RPA and natural language processingCambridge researchers develop a system to analyse cancer research papers to discover previously unexplored molecular biology linksDana Farber Cancer Institute accelerates clinical trial recruitment by using machine learning for genome mapping to identify best candidatesDayTwo improves blood sugar management through personalised diet recommendations based on gut microbiome analysis using machine learningDeepMind develops a highly accurate machine learning method for predicting protein structuresGlaxoSmithKline (GSK) plans to accelerate drug discovery as well as new applications for existing drugs using machine learningGlaxoSmithKline (GSK) plans to reduce drug discovery to trial time from six years to 12 months using machine learning models to predict molecular behaviourHealx''s scientist predicts effectiveness of combinations of antibiotics using machine learningMIT scientists develop system that crowdsources data to speed up drug discovery using neural networksNovartis researchers train algorithm to identify different cell types to spot cancer in scansPeptone accelerates protein research for drug discovery with a machine learning derived databasePfizer identifies new potential cancer treatments using IBM WatsonPharmaceutical company identifies warnings for non-Hodgkin’s lymphoma patients requiring change of treatment using machine learningResearchers at Macau University of Science and Technology develop a new model for disease classification in cases of limited labelled data with ~90% accuracy by combining logistic regression and semi-supervised learningResearchers 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 learningResearchers at the University of Glasgow develop platform to locate new molecules using machine learningRoche plans to reduce time-to-market for oncology medicine by streamlining clinical trial process with machine learningSanofi Pasteur plans to make vaccines more effective by assessing biomarkers of influenza vaccination outcomes with machine learningTakeda and ConvergeHEALTH aim to better understand how treatment-resistant depression responds to medication using deep learning modelsTakeda partners with Numerate to improve pharmaceutical clinical trial efficiency by using AI to inform design decisionsThe Good Doctor Pharmaceutical Group''s farm achieves manufacturing efficiency in breeding cockroaches for medicinal purposes through an AI-powered smart systemUniversity of Glasgow researchers predict virus reservoir hosts with 83.5% accuracy and provide hypotheses about unknown viral vectors