Automation and Active Learning for the Multi‐Objective Optimization of Antibody Formulations
Successful antibody formulation necessitates balancing factors such as thermal stability, colloidal stability, and viscosity across a vast excipient design space. This work integrates robotic liquid handling, high‐throughput biophysical characterization, and multi‐objective Bayesian optimization in an iterative closed‐loop Design‐Build‐Test‐Learn cycle.
D. Christopher Radford +3 more
wiley +1 more source
Tweets Surrounding Pharmaceutical Drug Brands With Top Direct-to-Consumer TV-Advertising Budgets: Social Media Listening Study. [PDF]
Macias W, Navarro Castillo MB.
europepmc +1 more source
Cybersecurity breaches in medical devices: analyzing FDA safety communications in response to patient security concerns. [PDF]
Menon V.
europepmc +1 more source
Accessibility of Biologic Drugs in Morocco: Comparison with FDA and EMA Approvals (2015-2025). [PDF]
Charrak M, Cherrah Y, Serragui S.
europepmc +1 more source
Enhanced Range Resolution Beamforming for Subarray-Based FDA. [PDF]
Wang A, Lu Y, Xu Y.
europepmc +1 more source
Erratum: Review of the Patient Burden and Therapeutic Landscape of Irritable Bowel Syndrome with Constipation in the United States [Corrigendum]. [PDF]
europepmc +1 more source
Medical Device Regulation - Who Does the FDA Serve? [PDF]
Moneer O, Rathi V.
europepmc +1 more source
FDA Approves Reduced Drinking Endpoints for Alcohol Trials: A New Road for Alcohol Treatment?
Bramness JG, Dom G.
europepmc +1 more source

