Results 141 to 150 of about 4,928,095 (257)

From Biological Mechanisms to Causal Inference: Quantitative Systems Pharmacology and Causal Frameworks in Drug Development. [PDF]

Clin Pharmacol Ther
Klabunde T, Hernandez R, van der Graaf PH, Andreani T.   +3 more
europepmc   +1 more source

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

Cover ASSETS: JAP Vol 12, No 1 (2023)

, 2023
Jurnal Akuntansi dan Pendidikan, ASSETS
core   +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

Dine in or take out dataset: user behavior in an interactive virtual reality café. [PDF]

Data Brief
Ibragimov E, Banerjee NK, Banerjee S, Shivakumar A.   +3 more
europepmc   +1 more source

A Multistrategy AI‐Assisted Consensus Screening Pipeline for Discovery of Candidate p53 Monomer Binders

Advanced Intelligent Discovery, EarlyView.
An ultra‐fast small‐sample AI consensus pipeline combines co‐folding and docking to target structure‐lacking p53 monomers. Its optimal mini‐protein binder shows robust interfacial affinity and promising druggability, supplying unprecedented antitumor p53 templates.
Ningyao Li, Xueyi Liu, Qiuyue Li, Chengfeng Yue, Xin Li, Yugang Huang, Xin Deng, Junfei Zhang, Xue Liang, Guodong Ye   +9 more
wiley   +1 more source

A Virtual Reality Dataset to Support Hand Action Observation in Rehabilitation and Motor Learning Studies. [PDF]

Sci Data
Ciraolo A, Scalona E, Zilli A, Nuara A, Rizzolatti G, De Marco D, Adamo P, Gatti R, Rossi P, Banfi S, Rocca MA, Filippi M, Avanzini P, Fabbri-Destro M.   +13 more
europepmc   +1 more source

Cover ASSETS: JAP Vol 11, No 2 (2022)

, 2022
Jurnal Akuntansi dan Pendidikan, ASSETS
core   +1 more source

A Generative AI Framework to Predict Cardiomyocyte Contraction Function From Single Static Images

Advanced Intelligent Discovery, EarlyView.
A single static hiPSC‐cardiomyocyte image is fed into a U‐Net‐GAN framework, which directly predicts a pixel‐resolved contraction heatmap without time‐lapse imaging. StyleGAN2‐generated synthetic cell–heatmap pairs augment training, improving prediction fidelity (SSIM = 0.84).
Andrew Kowalczewski, Chenyan Wang, Xinrui Wang, Huaxiao Yang, Zhao Qin, Zhen Ma   +5 more
wiley   +1 more source

Dataset of perceptions of waiting in a virtual reality (VR) doctor's office receptionist queue with and without notifications on the reason for a delay. [PDF]

Data Brief
Ibragimov E, Banerjee NK, Banerjee S, Shivakumar A.   +3 more
europepmc   +1 more source