Results 171 to 180 of about 159,034 (226)

Chemically Doped Conductive Polymers for Wearable Health Monitoring

Advanced Materials Technologies, EarlyView.
Among conductive polymers, poly(3,4‐ethylenedioxythiophene):poly(styrenesulfonate) (PEDOT:PSS), polyaniline (PANI), and polypyrrole (PPy) are the most studied and applied. Chemical doping significantly boosts intrinsic conductivity and mechanical robustness.
Mengdi Zuo, Jian Song, Hong Hu, Le Zheng, Lei Zhang, Charles H. Lawrie   +5 more
wiley   +1 more source

Development and validation of an interpretable machine learning model for predicting portal vein system thrombosis following splenectomy in Wilson's disease. [PDF]

Clin Exp Med
Shen Y, Zheng Z, Min HC, Peng H, Huang L, Zhang WZ, Feng H, Yu QS.   +7 more
europepmc   +1 more source

Predicting Multidrug-Resistant Pneumonia: An Interpretable Machine Learning Model Validated in US and Chinese Patient Cohorts. [PDF]

Infect Drug Resist
Lan Y, Zhang Z, Wei N, Li Y, Li H, Wu C, Qiao Y, Wu M, Lu X.   +8 more
europepmc   +1 more source

Uncovering Structure-Conductivity Relationships in Anion Exchange Membranes (AEMs) Using Interpretable Machine Learning. [PDF]

Membranes (Basel)
Naghshnejad P, Das D, Romagnoli JA, Kumar R, Chen J.   +4 more
europepmc   +1 more source

Optimizing Surgery Strategies in Stage IB Lung Squamous Cell Carcinoma: Insights from Interpretable Machine Learning. [PDF]

Thorac Cancer
Ding Q, Lin C, Lam Y, Guo F, Ma S, Qiang G.   +5 more
europepmc   +1 more source

A Causal and interpretable machine learning framework for postcranioplasty risk prediction and surgical decision support. [PDF]

NPJ Digit Med
Li W, Wang B, Li T, Ma Y, Jin H, Zhao J, Xue Z, Su N, He Y, Shi J, Liu X, Liu X, Wang T, Wang J, Li C, Yan C, Ma Y, Qi Q, Wang X, Li W, Huang B, Wang D, Wang X, Qu Y, Li X, Qiu C, Yang N.   +26 more
europepmc   +1 more source

Temporally resolved and interpretable machine learning model of GPCR conformational transition. [PDF]

Nat Commun
Manookian B, Mukhaleva E, Gogoshin G, Bhattacharya S, Sivaramakrishnan S, Vaidehi N, Rodin AS, Branciamore S.   +7 more
europepmc   +1 more source