Results 211 to 220 of about 22,062 (274)

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

[Environmental justice-challenges for spatial analysis and monitoring]. [PDF]

Bundesgesundheitsblatt Gesundheitsforschung Gesundheitsschutz
Czwikla G, Telkmann K, Dreger S, Bolte G.   +3 more
europepmc   +1 more source

AI‐Driven Cancer Multi‐Omics: A Review From the Data Pipeline Perspective

Advanced Intelligent Discovery, EarlyView.
The exponential growth of cancer multi‐omics data brings opportunities and challenges for precision oncology. This review systematically examines AI's role in addressing these challenges, covering generative models, integration architectures, Explainable AI for clinical trust, clinical applications, and key directions for clinical translation.
Shilong Liu, Shunxiang Li, Kun Qian
wiley   +1 more source

Beyond universality: confronting nursing theories with the realities of chronic care. [PDF]

Rev Lat Am Enfermagem
Almeida Neto OP, Vellone E, Riegel B, Rabelo-Silva ER, Zeffiro V, Della-Bella V.   +5 more
europepmc   +1 more source

Uncertainty‐Guided Selective Adaptation Enables Cross‐Platform Predictive Fluorescence Microscopy

Advanced Intelligent Discovery, EarlyView.
Deep learning models often fail when transferred to new microscopes. A novel framework overcomes this by selectively adapting the early layers governing low‐level image statistics, while freezing deep layers that encode morphology. This uncertainty‐guided approach enables robust, label‐free virtual staining across diverse systems, democratizing ...
Kai‐Wen K. Yang, Andrew Bai, Alexandra Bermudez, Yunqi Hong, Zoe Latham, Iris Sloan, Michael Liu, Vishrut Goyal, Cho‐Jui Hsieh, Neil Y. C. Lin   +9 more
wiley   +1 more source

Overcoming five key challenges to make the energy transition a just labor transition. [PDF]

Nat Commun
Fernández Intriago L, Burrow S, Chakraborty S, Daniels R, Finkelstein Shapiro A, Garcia H, Heffron R, Jakob M, Janser M, Kerr S, Leining C, Maré D, Pucheta M, Raimi D, Rambharos M, Richardson E, Tarazona M, Terzi A.   +17 more
europepmc   +1 more source

Solving Data Overlapping Problem Using A Class‐Separable Extreme Learning Machine Auto‐Encoder

Advanced Intelligent Systems, Volume 7, Issue 3, March 2025.
The overlapping and imbalanced data in classification present key challenges. Class‐separable extreme learning machine auto‐encoding (CS‐ELM‐AE) is proposed, which is an enhancement of ELM‐AE that better handles overlapping data by clustering points from the same class together. Applying oversampling addresses imbalanced data.
Ekkarat Boonchieng, Wanchaloem Nadda
wiley   +1 more source

The adaptation process of the Brazilian National Health System to the effects of climate change. [PDF]

Epidemiol Serv Saude
Garcia KKS, Horta MAP.
europepmc   +1 more source