Results 151 to 160 of about 13,237 (253)

Toward Predictable Nanomedicine: Current Forecasting Frameworks for Nanoparticle–Biology Interactions

Advanced Intelligent Discovery, EarlyView.
Predictive models successfully screen nanoparticles for toxicity and cellular uptake. Yet, complex biological dynamics and sparse, nonstandardized data limit their accuracy. The field urgently needs integrated artificial intelligence/machine learning, systems biology, and open‐access data protocols to bridge the gap between materials science and safe ...
Mariya L. Ivanova, Michael Nicholls, Nicola Russo, Gueorgui Mihaylov, Konstantin Nikolic   +4 more
wiley   +1 more source

Maternal eating disorders and respiratory outcomes in childhood: findings from the EU Child Cohort Network. [PDF]

Thorax
Popovic M, Maule M, Moccia C, Isaevska E, Avraam D, Cadman T, Elhakeem A, Grote V, Guerlich K, Haakma S, Harris JR, Jansen PW, Thorbjørnsrud Nader JL, Pinot de Moira A, Strandberg-Larsen K, Swertz M, Welten M, Yang T, Jaddoe V, Duijts L, Richiardi L.   +20 more
europepmc   +1 more source

Effectiveness of a web-based treatment program using intensive therapeutic support for female patients with bulimia nervosa, binge eating disorder and eating disorders not otherwise specified: study protocol of a randomized controlled trial. [PDF]

BMC Psychiatry, 2013
ter Huurne ED, Postel MG, de Haan HA, DeJong CA.   +3 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

Family coalitions and restrictive eating disorders in adolescence: a lausanne trilogue play study. [PDF]

Front Psychol
Criscuolo M, Mensi MM, Croci I, Chianello I, Vecchio A, Coci C, Riso M, Castiglioni MC, McHale JP, Zanna V.   +9 more
europepmc   +1 more source

Composition‐Aware Cross‐Sectional Integration for Spatial Transcriptomics

Advanced Intelligent Discovery, EarlyView.
Multi‐section spatial transcriptomics demands coherent cell‐type deconvolution, domain detection, and batch correction, yet existing pipelines treat these tasks separately. FUSION unifies them within a composition‐aware latent framework, modeling reads as cell‐type–specific topics and clustering in embedding space.
Qishi Dong, Zijian Huang, Xuanwu Wang, Zhenghui Feng, Wei Liu, Bingding Huang   +5 more
wiley   +1 more source

All-cause and cause-specific mortality risk in individuals with eating disorders: systematic review and meta-analysis of relative risk and aggravating or attenuating factors. [PDF]

World Psychiatry
Semchishen SN, Højlund M, Lemaire D, Obeegadoo I, Hammond NG, Frangione B, Ogawa H, Sunderland R, Singh A, Wafy G, Campana M, Sakeah J, Brousseau K, Correll CU, Wagner E, Colman I, Solmi M.   +16 more
europepmc   +1 more source

Factorization Machine with Iterative Quantum Reverse Annealing: A Python Package for Batch Black‐Box Optimization With Reverse Quantum Annealing

Advanced Intelligent Discovery, EarlyView.
Factorization machine with iterative quantum reverse annealing (FMIRA) leverages quantum reverse annealing to perform batch black‐box optimization. Factorization machine with quantum annealing (FMQA) is a widely used python package for solving black‐box optimization problems using D‐Wave quantum annealers.
Andrejs Tučs, Ryo Tamura, Koji Tsuda
wiley   +1 more source

A scoping review of the relationship between autistic traits and eating disorders: exploring the secondary impact of eating disorders and co-occurring psychiatric diagnoses. [PDF]

Front Psychiatry
Kerr-Gaffney J, Nimbley E, Austin A, Gillespie-Smith K, Sharpe H, Duffy F.   +5 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