Results 91 to 100 of about 267,710 (349)

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

Characteristic target sign of the small intestine in a case of lupus enteritis

Journal of General and Family Medicine, 2022
Toshimasa Yamaguchi
doaj   +1 more source

Optimizing prehospital triage: Web‐based tools for severity classification in prehospital care, prospective study in Northern Thailand

Hong Kong Journal of Emergency Medicine
Background Emergency medical services act as the frontline in patient care. They triage patients' severity and initial treatment and refer them to the proper hospital. Incorrect triage can lead to adverse outcomes. Objective The study's main objective is
Kawisara Chaimuang, Theerapon Tangsuwanaruk, Orawit Thinnukool, Parinya Tianwibool   +3 more
doaj   +1 more source

Sudanese ED Triage assessment

, 2022
Bayan Ibrahim
openalex   +1 more source

Supplementary Data from Combined Promoter Methylation Analysis of CADM1 and MAL: An Objective Triage Tool for High-Risk Human Papillomavirus DNA–Positive Women [PDF]

, 2023
Albertus T. Hesselink, Daniëlle AM Heideman, Renske D.M. Steenbergen, Veerle M.H. Coupé, Renée M. Overmeer, Dorien Rijkaart, Johannes Berkhof, Chris J.L.M. Meijer, Peter J.F. Snijders   +8 more
openalex   +1 more source

Machine Learning‐Driven Digital Twin of a Field‐Effect Transistor‐Based Hormone Biosensor for Real‐Time Estradiol Monitoring

Advanced Intelligent Systems, EarlyView.
A machine learning‐driven digital twin simulates an aptamer‐functionalized BioFET measuring 17β‐estradiol. Real‐time Isd signals are processed, features are extracted, and trained models estimate hormone concentration. In parallel, a one‐step‐ahead forward model learns biosensor dynamics and generates realistic synthetic signals, enabling in silico ...
Anastasiia Gorelova, Alexandra Parichenko, Shirong Huang, Santiago Melia, Gianaurelio Cuniberti   +4 more
wiley   +1 more source

Small intestinal press‐through package perforation

Journal of General and Family Medicine, 2022
Toshimasa Yamaguchi
doaj   +1 more source

Acalculous Cholecystitis Secondary to Epstein-Barr Virus Infection

Balkan Medical Journal, 2022
Toshimasa Yamaguchi
doaj   +1 more source

Improving Patient Flow Through Axiomatic Design of Hospital Emergency Departments [PDF]

, 2009
Organised by: Cranfield UniversityIn response to crowding in hospital emergency departments (ED), efforts have been made to increase patient flow through the Fast Track (FT).
Kim, S-G., Peck, J.
core  

Digital Surface‐Enhanced Raman Scattering With Event Counting and Spectrum Learning for Label‐Free Protein Quantification

Advanced Intelligent Systems, EarlyView.
A statistical and machine learning‐assisted surface‐enhanced Raman scattering (SERS) framework is developed for label‐free quantification of low‐abundance analytes, including proteins. Combining digital SERS event counting with binomial regression and an artificial neural network (ANN) trained on full spectra, the approach achieves picomolar detection ...
Eni Kume, James Rice
wiley   +1 more source