Results 191 to 200 of about 726,930 (286)

Explainable machine learning for postoperative respiratory failure prediction in open-heart surgery patients - a study based on the MIMIC-IV database. [PDF]

BMC Med Inform Decis Mak
Ma R, Wang H, Lv C, Li Y, Yang G, Fang H, Liang N, Ma L, Hu Y, Mo Y.   +9 more
europepmc   +1 more source

Engineered Protein‐Based Ionic Conductors for Sustainable Energy Storage Applications

Advanced Materials, EarlyView.
Rational incorporation of charged residues into an engineered, self‐assembling protein scaffold yields solid‐state protein films with outstanding ionic conductivity. Salt‐doping further enhances conductivity, an effect amplified in the engineered variants. These properties enable the material integration into an efficient supercapacitor.
Juan David Cortés‐Ossa, Paolo Blesio, Marcial Fernandez‐Castro, Lisa Almonte, Maxence Fernandez, Mantas Liutkus, Perumal Pandurangan, Carlos Sabater, Aitor Villaverde, Manuel Melle‐Franco, Nurit Ashkenasy, Felipe Jiménez‐Ángeles, M. Carmen Morant‐Miñana, M. Reyes Calvo, Aitziber L. Cortajarena   +14 more
wiley   +1 more source

Machine learning model for predicting hospital-acquired functional decline in older patients with postoperative cardiovascular surgery. [PDF]

World J Clin Cases
Hiramatsu R, Imaoka S, Minata S, Sako H, Sato N.   +4 more
europepmc   +1 more source

Bacteria‐Responsive Nanostructured Drug Delivery Systems for Targeted Antimicrobial Therapy

Advanced Materials, EarlyView.
Bacteria‐responsive nanocarriers are designed to release antimicrobials only in the presence of infection‐specific cues. This selective activation ensures drug release precisely at the site of infection, avoiding premature or indiscriminate release, and enhancing efficacy.
Guillermo Landa, Gracia Mendoza, Silvia Irusta, Manuel Arruebo   +3 more
wiley   +1 more source

Predicting Melanoma Impact on the Swedish Healthcare System from the Adult Population Using Machine Learning on Registry Data. [PDF]

Acta Derm Venereol
Gillstedt M, Stempfle L, Paoli J, Johansson FD, Polesie S.   +4 more
europepmc   +1 more source

Role of Liquid Composition in the Transient Liquid Assisted Growth of Superconducting YBa2Cu3O7‐δ Films

Advanced Materials, EarlyView.
The Y supersaturation in the [Ba‐Cu(I/II)‐O] transient liquid composition is the driving force toward YBCO nucleation and growth in TLAG. Tuning the initial (Ba:Cu) molar ratio in the ink composition determines the YBCO epitaxial nucleation through supersaturation control.
Lavinia Saltarelli, Diana García, Laia Soler, Elzbieta Pach, Kapil Gupta, Daniel Sanchez‐Rodriguez, Jordi Aguilar, Víctor Fuentes, Eduardo Solano, Cristian Mocuta, Jordi Farjas, Xavier Obradors, Teresa Puig   +12 more
wiley   +1 more source

Smartphone-Based Interpretable Machine Learning for Classifying Single-Leg Squat Performance Using Trunk, Pelvic, and Knee Kinematics: Cross-Sectional Study.

JMIR Mhealth Uhealth
Kim S, Park K.
europepmc   +1 more source

Research on the Prediction of Coal Workers' Pneumoconiosis Based on Easily Detectable Clinical Data: Machine Learning Model Development and Validation Study. [PDF]

JMIR Med Inform
Li H, Jia J, Shi X, Dong Y, Wang S, Cui Y, Hang W, Zhang D.   +7 more
europepmc   +1 more source

Beyond Presumptions: Toward Mechanistic Clarity in Metal‐Free Carbon Catalysts for Electrochemical H2O2 Production via Data Science

Advanced Materials, EarlyView.
Metal‐free carbon catalysts enable the sustainable synthesis of hydrogen peroxide via two‐electron oxygen reduction; however, active site complexity continues to hinder reliable interpretation. This review critiques correlation‐based approaches and highlights the importance of orthogonal experimental designs, standardized catalyst passports ...
Dayu Zhu, Hsi‐wen Wu, Xiao Wang, Jie Zhang   +3 more
wiley   +1 more source

Machine Learning-Based Risk Prediction for Coronary Heart Disease Complicated by Hyperhomocysteinemia: Retrospective Study.

JMIR Med Inform
Du MY, Lyu MK, Liu HL, Li YZ, Yan HF, Li XH.   +5 more
europepmc   +1 more source