Results 201 to 210 of about 10,624,441 (235)

Development and validation of an interpretable machine learning model for predicting chemotherapy-induced neutropenia in small cell lung cancer: a web-based clinical decision support tool. [PDF]

Front Oncol
Zhang J, Lu S, Liu C, Zhai Y, Liu J, Luo M, Zhang H, Cai S, Tian Y, Zhang L, Yuan H.   +10 more
europepmc   +1 more source

Harnessing Phase Separation for the Development of High‐Performance Hydrogels

Advanced Science, EarlyView.
ABSTRACT Hydrogels are indispensable for the development of next‐generation bioelectronics, soft robotics, and biomedical devices, where their mechanical properties determine performance and reliability. Among strategies to enhance hydrogel mechanics, phase separation enables controlled heterogeneity resulting in gel networks that are reinforced by ...
Yue Shao, Yiming Ma, Baihao Shao, Molly M. Stevens   +3 more
wiley   +1 more source

Interpretable admission-stage machine learning for early Sepsis-3 identification in the emergency department. [PDF]

Front Med (Lausanne)
Cantaş Türkiş F, Varol B.
europepmc   +1 more source

Neuromorphic Near‐Sensor and In‐Sensor Computing Enabled by Next‐Generation Material‐Based Sensors

Advanced Science, EarlyView.
This Review presents a structural framework that classifies neuromorphic sensing into near‐sensor and in‐sensor architectures, clarifying physical coupling between sensing and computation. The framework connects neural and synaptic device functions with recent advances in optical, mechanical, and chemical sensing, compares energy consumption and ...
Su Yeon Jung, Gwang Ya Kim, Sejin Kim, Hyunjong Seo, Se Gi Lee, Sang Min Won, Dongjoon Rhee, Joohoon Kang   +7 more
wiley   +1 more source

Machine learning-based prediction of postoperative venous thromboembolism in orthopedic surgery using the MIMIC-IV database and external validation. [PDF]

Front Surg
Wu G, Cai G, Wu G, Zhu M, Guo J.
europepmc   +1 more source

Machine learning-based prediction model for hypoalbuminemia in ICU patients with venous thromboembolism and acute kidney injury. [PDF]

Front Med (Lausanne)
Qian Z, Li G, Tang J.
europepmc   +1 more source

Predicting nanoparticle tumor delivery efficiency using explainable machine learning for cancer nanomedicine design. [PDF]

Front Bioeng Biotechnol
Karim A, Sutikno, Syarif AM, Jeong IC.
europepmc   +1 more source

Research on Angle-Adaptive Look-Ahead Compensation Method for Five-Degree-of-Freedom Additive Manufacturing Based on Sech Attenuation Curve. [PDF]

Micromachines (Basel)
Han X, Li W, Chen S, Liu X, Cui L.
europepmc   +1 more source

Identification of factors associated with failure to meet nocturnal penile tumescence and rigidity criteria based on RigiScan monitoring and machine learning algorithms: a cross-sectional study. [PDF]

Front Endocrinol (Lausanne)
Wang J, Shan Y, Li S, Sun Z, Piao Z, Zhang X, Zhang M.   +6 more
europepmc   +1 more source