Results 211 to 220 of about 14,235 (282)

Multi-View Biomedical Foundation Models for Molecule-Target and Property Prediction. [PDF]

Adv Sci (Weinh)
Suryanarayanan P, Qiu Y, Sethi S, Mahajan D, Li H, Yang Y, Eyigoz E, Guzmán-Sáenz A, Platt DE, Rumbell TH, Ng K, Dey S, Burch M, Kwon BC, Meyer P, Cheng F, Hu J, Morrone JA.   +17 more
europepmc   +1 more source

LLM‐Based Scientific Assistants for Knowledge Extraction: Which Design Choices Matter?

Advanced Intelligent Discovery, EarlyView.
A comprehensive framework for optimizing Large Language Models in domain‐specific applications is introduced. The LLM Playground integrates Prompt Engineering, knowledge augmentation, and advanced reasoning strategies to enable systematic comparison of architectures and base models.
David Exler, Manuel Raimann, Marc Münker, Maxim Rosin, Joaquin E. Urrutia Gómez, Christof M. Niemeyer, Markus Reischl, Luca Rettenberger   +7 more
wiley   +1 more source

Research and implementation of intelligent clothing personalized customization system based on deep learning. [PDF]

Sci Rep
Lu Y.
europepmc   +1 more source

AI Powered Biobanks From Static Archives to Dynamic Discovery Engines

Advanced Intelligent Discovery, EarlyView.
Large language models (LLMs) provide a potential framework for transforming biobanks from static data repositories into intelligent discovery engines. By enabling unified representation and analysis of multimodal biomedical data, LLM‐based systems facilitate dynamic risk prediction, biomarker identification, and mechanistic interpretation, thereby ...
Wenzhen Yin, Yutian Feng, Wenrui Ma, Yuxin Su, Li Min, Juan Liu   +5 more
wiley   +1 more source

DrugForm-TAS: Target-Agnostic Selectivity as Proteome-wide Binding Propensity Estimation. [PDF]

Comput Struct Biotechnol J
Tashchilova A, Khokhlov I, Seikin A, Bugaev-Makarovskiy N, Glushkova O, Yudin V, Keskinov A, Yudin S, Svetlichnyy D, Skvortsova V.   +9 more
europepmc   +1 more source

A Multimodal Intelligent System for Human Digital Twin Simulation with Continuous Kinematic Data Tracking, Biometric Prognosis, and Cognitive State Feedback in Industrial Environments

Advanced Intelligent Discovery, EarlyView.
This article implements a unified human digital twin framework that integrates cutting edge actuation, sensing, simulation, and bidirectional feedback capability. The approach includes integrating multimodal sensing, AI, and biomechanical simulation into one compact system.
Tajbeed Ahmed Chowdhury, Sebastian Gratz‐Kelly, Eric Wagner, Paul Motzki, Martina Lehser   +4 more
wiley   +1 more source

GEC-DTSP: A GNN-RL-based Edge-Cloud Digital Twin framework for real-time traffic forecasting and adaptive signal control. [PDF]

PLoS One
Alanazi F, Armghan A, Al-Gburi AJA, Yousef A.   +3 more
europepmc   +1 more source

Harnessing Machine Learning to Understand and Design Disordered Solids

Advanced Intelligent Discovery, EarlyView.
This review maps the dynamic evolution of machine learning in disordered solids, from structural representations to generative modeling. It explores how deep learning and model explainability transform property prediction into profound physical insight.
Muchen Wang, Yue Fan
wiley   +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

Digital twin-assisted blockchain IoT security model using contrastive and causal learning techniques. [PDF]

Sci Rep
Dutta AK, Anjum M, Min H, Daradkeh YI, Seo JT, Shahab S.   +5 more
europepmc   +1 more source