Results 221 to 230 of about 1,906,785 (292)

A comparative study on advanced predictive modeling of thyroid cancer recurrence using multi algorithmic machine learning frameworks. [PDF]

Sci Rep
Thakur D, Gera T, Bhardwaj V, Mazen R, Lasisi A, Engida T.   +5 more
europepmc   +1 more source

Rational Design of Printable Carbon Nanotube Transparent Conductive Films via Data‐Driven and Mechanistic Insights

Advanced Functional Materials, EarlyView.
A machine learning and simulation‐guided strategy is demonstrated for gentle, non‐sonication dispersion of carbon nanotubes, preserving structural integrity and performance. This approach enables transparent conductive films with low sheet resistance, high transmittance, and sub‐20 µm printability.
Ying Zhou, Ken‐ichi Nomura, Shun Muroga, Makoto Yoneya, Don N. Futaba, Takeo Yamada, Reiko Azumi, Kenji Hata   +7 more
wiley   +1 more source

Development of an explainable machine learning model for predicting poststroke anxiety: A multicenter study using Shapley Additive Explanations and nomogram visualization. [PDF]

Digit Health
Lyu M, Xie Y, Li M, Hölscher C, Shen X.
europepmc   +1 more source

Upcycling of Disposable Face Masks into Water‐Resistant and Flame Retardant Foams

Advanced Functional Materials, EarlyView.
Disposable mask waste is upcycled into lightweight polypropylene‐based foams with tunable porosity and composite architectures reinforced by ear‐loop fibers. The sustainable solvent‐based process enables upcycling rates of 91% and solvent recovery of >90%.
Jingjing Pan, Erlantz Lizundia, Hao Jia, Lennart Bergström   +3 more
wiley   +1 more source

PRELIVE: A Framework for Predicting Lipid Nanoparticles In Vivo Efficacy and Reducing Reliance on Animal Testing

Advanced Functional Materials, EarlyView.
PREdicting LNP In Vivo Efficacy (PRELIVE) framework enables the prediction of lipid nanoparticle (LNPs) organ‐specific delivery through dual modeling approaches. Composition‐based models using formulation parameters and protein corona‐based models using biological fingerprints both achieve high predictive accuracy across multiple organs.
Belal I. Hanafy, Chuan‐En Lu, Kai Liu, Audrey Gallud   +3 more
wiley   +1 more source

Artificial Intelligence for Predicting Postoperative Complications in Orthopedics: A Review of Clinical Applications, Challenges, and Future Directions. [PDF]

Cureus
Sharma AC, Azeem A, Omari IH, Premkumar A.   +3 more
europepmc   +1 more source

ASAS-NANP Symposium: mathematical modeling in animal nutrition: construction of supervised machine learning regression pipelines for livestock data modeling: a case studys. [PDF]

J Anim Sci
Tulpan D, Tedeschi LO, Menendez H, Vieira RAM.   +3 more
europepmc   +1 more source

Inter-individual variability in the relationship between propulsion force and walking speed in subacute stroke. [PDF]

Sci Rep
Kawakami W, Asakura Y, Okuda Y, Kikuchi Y, Fujita T, Mihara B.   +5 more
europepmc   +1 more source

A novel approach for accurate disease prediction: Application to heart and liver diseases. [PDF]

J Educ Health Promot
Poojari S, Ismail B.
europepmc   +1 more source