Results 201 to 210 of about 3,967,313 (340)

Autonomous AI‐Driven Design for Skin Product Formulations

Advanced Intelligent Discovery, EarlyView.
This review presents a comprehensive closed‐loop framework for autonomous skin product formulation design. By integrating artificial intelligence‐driven experiment selection with automated multi‐tiered assays, the approach shifts development from trial‐and‐error to intelligent optimisation.
Yu Zhang, Yongrui Xiao, Chunlin Chen, Dimitrios Tsaoulidis, Kai Yang, Tao Chen   +5 more
wiley   +1 more source

When Biology Meets Medicine: A Perspective on Foundation Models

Advanced Intelligent Discovery, EarlyView.
Artificial intelligence, and foundation models in particular, are transforming life sciences and medicine. This perspective reviews biological and medical foundation models across scales, highlighting key challenges in data availability, model evaluation, and architectural design.
Kunying Niu, Yuxing Wang, Limin Zou, Jing Huang   +3 more
wiley   +1 more source

Navigating Drug Shortages in Obstetric Care. [PDF]

O G Open
Piltch G, Rochelson D, Rochelson B.
europepmc   +1 more source

Large‐Scale Machine Learning to Screen for Small‐Molecule Senolytics

Advanced Intelligent Discovery, EarlyView.
A consistent workflow underpins all experiments in this study. A dedicated model‐selection dataset first identifies optimal hyperparameters for each algorithm. Models are then trained and rigorously evaluated on independent sets of molecules using the senolytic ratio SR. Comprehensive hyperparameter exploration across SMILES representations, task types,
Alexis Dougha, Jesus Gil, Pedro J. Ballester   +2 more
wiley   +1 more source

Enhancing antimicrobial stewardship and health literacy in Europe - moving forward through education and empowerment. [PDF]

Public Health Pract (Oxf)
Kertes G, Robertson A, Ackerley L, Liljeberg MB, Swedmark C, Shephard A, Bosch T, Bojesen AM, Carreño Louro J, Calabró M, Sienkiewicz D, Jokelainen P, Bengtsson M, Thyregod L, Sønderberg N, Nelander C, Münter L.   +16 more
europepmc   +1 more source

Accelerating Discovery of Organic Molecular Crystals via Materials Informatics and Autonomous Experiments

Advanced Intelligent Discovery, EarlyView.
Materials informatics and autonomous experimentation are transforming the discovery of organic molecular crystals. This review presents an integrated molecule–crystal–function–optimization workflow combining machine learning, crystal structure prediction, and Bayesian optimization with robotic platforms.
Takuya Taniguchi, Kazuki Ishizaki, Ryo Fukasawa   +2 more
wiley   +1 more source

Strengthening health technology assessment in Greece: industry-identified barriers and recommendations. [PDF]

Front Public Health
George P, Eleftheria K, Kostas A.
europepmc   +1 more source

Prediction‐Guided Two‐Step Solid‐State Exploration of Unknown Pseudo‐Ternary Oxides

Advanced Intelligent Discovery, EarlyView.
Prediction‐guided selection combined with two‐step solid‐state exploration enables efficient search of unknown pseudo‐ternary oxides. Broad robotic slurry screening followed by manual single‐phase isolation leads to the discovery of a new oxide, Ba5SnV6O22, showing how data‐guided experiments connect unexplored composition regions to new materials ...
Hiroyuki Hayashi
wiley   +1 more source

A Call To Action: Developing an Agile Global Regulatory Affairs Workforce for the Future. [PDF]

Ther Innov Regul Sci
AlJuburi L, Mahoney N, Reilly E, Bertha A, Isom DC, Bisordi F, Beakes-Read V, Garvin M, Boyce D, Carl K, Curtis SP, Dudinak J, Garner CO, Latif N, Luik S, Rohrer M, Rupalla K, Taisey M, Votzmeyer R, Wegner M, Williams K.   +20 more
europepmc   +1 more source

Definitions of community‐level approaches to address substance‐related harms and lessons learned: A systematic overview of reviews

American Journal of Community Psychology, EarlyView.
Abstract Community action focused on sociocultural and environmental influences to prevent alcohol and other drug (AOD) use and related harms is a global priority. Despite this recognition, understanding of effective community‐level approaches is limited.
Peter Gates, Andrea Zocco, Sara Farnbach
wiley   +1 more source