Bharathy Prabaharan - Data Administrator - GP Practice | LinkedIn
New study shows genes can predict response to arthritis treatment, paves the way for future drug development
Drug ranking using machine learning systematically predicts the efficacy of anti-cancer drugs | Nature Communications
MSCA ETN: 13 PhD positions in N2B Delivery of Biopharmaceutics for the therapy of CNS diseases | EURAXESS
Queen Mary University of London: Ranking, Fees, Eligibility, Admissions | Leverage Edu
Frontiers | Review of Clinical Trials of COVID-19 Vaccination Booster in SARS-CoV-2 Variants Era: To Take It or Not To Take It | Drug Discovery
Discovery of SARS-CoV-2 antiviral drugs through large-scale compound repurposing | Nature
Frontiers | A Review of Current In Silico Methods for Repositioning Drugs and Chemical Compounds | Oncology
Study at Queen Mary University of London | Leverage Edu
Bharathy Prabaharan - Data Administrator - GP Practice | LinkedIn
REBEKAH IBITOYE - clinical support worker - NHS | LinkedIn
Evaluating drug targets through human loss-of-function genetic variation | Nature
Pharmacology and Innovative Therapeutics - Queen Mary University of London
The cost of developing new treatments and the case for front-loading discovery science funding
ICON Plc - ICON's Jeremy Tinkler is presenting a lecture on medical device regulation from a toxicology perspective at Queen Mary University. For more info visit: http://ow.ly/chGL50H6vJk. | Facebook
PDF) Statistical consideration when adding new arms to ongoing clinical trials: the potentials and the caveats
Queen Mary University of London
Queen Mary University of London
Queen Mary opens Organs-on-Chips Centre for advancements in medical research and drug development: QMUL School of Engineering and Materials Science
MSc/PGDip in Clinical Drug Development | William Harvey Research Institute, Queen Mary University of London
Queen Mary University of London has joined the Frontiers – JISC national open access deal. – Science & research news | Frontiers
Drug Discovery Science News | Technology Networks
Study at Queen Mary University of London | Leverage Edu
Study medicine - Queen Mary University of London
A framework for the development of effective anti-metastatic agents | Nature Reviews Clinical Oncology
