Results 131 to 140 of about 41,144 (258)

Bayesian deep learning outperforms clinical trial estimators of intracerebral and intraventricular hemorrhage volume. [PDF]

J Neuroimaging, 2022
Sharrock MF, Mould WA, Hildreth M, Ryu EP, Walborn N, Awad IA, Hanley DF, Muschelli J.   +7 more
europepmc   +1 more source

TSTScope Unifies Single‐Cell Multi‐Omics to Identify Functional T Cell States Predictive of Immunotherapy Response

Advanced Science, EarlyView.
TSTScope is an interpretable AI framework that integrates single‐cell transcriptomes with TCR information through curated gene‐program constraints. By linking receptor context to functional T cell states, it reveals response‐associated tumor‐specific T cell programs in lung cancer immunotherapy cohorts and defines an MPR score associated with ...
Shiwei Cao, Jinyu Cheng, Feng‐ao Wang, Chenxin Yi, Jiajun Chen, Keyue Wang, Lulu Liu, Junwei Liu, Yixue Li   +8 more
wiley   +1 more source

A predictive model for post-thoracoscopic surgery pulmonary complications based on the PBNN algorithm

Scientific Reports
We constructed an early prediction model for postoperative pulmonary complications after thoracoscopic surgery using machine learning and deep learning algorithms.
Cheng-Mao Zhou, Qiong Xue, HuiJuan Li, Jian-Jun Yang, Yu Zhu   +4 more
doaj   +1 more source

Bayesian deep learning for reliable oral cancer image classification. [PDF]

Biomed Opt Express, 2021
Song B, Sunny S, Li S, Gurushanth K, Mendonca P, Mukhia N, Patrick S, Gurudath S, Raghavan S, Tsusennaro I, Leivon ST, Kolur T, Shetty V, Bushan VR, Ramesh R, Peterson T, Pillai V, Wilder-Smith P, Sigamani A, Suresh A, Kuriakose MA, Birur P, Liang R.   +22 more
europepmc   +1 more source

Machine Learning of Temperature‐Dependent Chemical Kinetics Using Parallel Droplet Microreactors

Advanced Science, EarlyView.
An integrated droplet microfluidics and machine learning framework enables high‐throughput characterization of temperature‐dependent reaction kinetics. Time‐resolved measurements from thousands of droplets train Neural ODE models that accurately predict nonlinear reaction dynamics across diverse thermal environments, bridging large‐scale ...
Mamoru Saita, Yutaka Hori
wiley   +1 more source

Anomaly detection in chest ¹⁸F-FDG PET/CT by Bayesian deep learning. [PDF]

Jpn J Radiol, 2022
Nakao T, Hanaoka S, Nomura Y, Hayashi N, Abe O.   +4 more
europepmc   +1 more source

Drought Stress Mediated Changes in Food Crops: Mechanisms and Remediation Strategies

Advanced Science, EarlyView.
This work presents a multi‐scale framework for flavonoid‐mediated drought tolerance in staple food crops, integrating ROS redox regulation, antioxidant defense, rhizosphere microbial interactions, and sustainable agronomic practices. This interdisciplinary model provides core insights to develop climate‐resilient cropping systems and enhance global ...
Xiaoyi Duan, Litao Wang, Tuuli‐Marjaana Koski, Lizhe An, Thomas Efferth, Yujie Fu   +5 more
wiley   +1 more source

The origin and evolution of open habitats in North America inferred by Bayesian deep learning models. [PDF]

Nat Commun, 2022
Andermann T, Strömberg CAE, Antonelli A, Silvestro D.   +3 more
europepmc   +1 more source

Decoupling Fabrication From Encoding: DNA‐Addressable Template Microparticles for Large, User‐Defined Optical Barcode Libraries

Advanced Science, EarlyView.
A universal hydrogel microparticle template with five DNA‐addressable domains decouples particle fabrication from barcode writing. Contact‐free multilaminar flow lithography produces >106 templates/h, and post‐fabrication domain‐selective hybridization converts one batch into large, user‐defined optical barcode libraries with robust decoding and re ...
Akihiro Eguchi, Yuichiro Iwamoto, Hinata Tokuda, Haruka Narita, Adrian M. Martin, Sadao Ota   +5 more
wiley   +1 more source

Patient-specific uncertainty and bias quantification of non-transparent convolutional neural network model through knowledge distillation and Bayesian deep learning. [PDF]

Proc SPIE Int Soc Opt Eng, 2023
Gong H, Yu L, Leng S, Hsieh SS, Fletcher JG, McCollough CH.   +5 more
europepmc   +1 more source