Results 51 to 60 of about 52,163 (250)

Harnessing Large‐Scale Multi‐Omics Data for Risk Prediction and Deep Phenotyping of Valvular Heart Diseases in the General Population

Advanced Science, EarlyView.
Large‐scale UK Biobank analyses identify clinical and proteomic signatures for early prediction of valvular heart disease and its subtypes. Proteins add predictive value for VHD, AVS, and MVR, with outcome‐specific compact panels showing translational potential. Multi‐layer evidence highlights matrix remodeling, protease regulation, immune inflammation,
Zhihao Jiang, Yang Liu, Mingyu Song, Ning Chen, Canqing Yu, Jun Lv, Eric Yuk Fai Wan, Lu Qi, Liming Li, Dianjianyi Sun, Bang Zheng   +10 more
wiley   +1 more source

Air quality index AQI classification based on hybrid particle swarm and grey wolf optimization with ensemble machine learning model

Scientific Reports
Accurate Air Quality Index (AQI) classification is essential for environmental surveillance and public health decision-making. Using a publicly available daily U.S.
Emad Elabd, Hany Mohamed Hamouda, M. A. Mohamed Ali, A. S. Hamid, Yasser Fouad   +4 more
doaj   +1 more source

Iterative Tuning of Tree-Ensemble-Based Models' parameters Using Bayesian Optimization for Breast Cancer Prediction

Информатика и автоматизация
The study presents a method for iterative parameter tuning of tree ensemble-based models using Bayesian hyperparameter tuning for states prediction, using breast cancer as an example.
Ayman Alsabry, Malek Algabri
doaj   +1 more source

Automating Chemical Reasoning in High‐Throughput Phase Identification With a Probabilistic, LLM‐Guided Framework

Advanced Science, EarlyView.
Autonomous laboratories can now synthesize materials faster than experts can interpret the resulting diffraction data. A probabilistic framework combines refinement‐fit metrics with large language model‐derived chemical reasoning to rank competing phase interpretations and flag those unsuitable for autonomous use.
Olympia Dartsi, Lauren N. Walters, Amalie E. Trewartha, Steven B. Torrisi, Amanda Volk, Liam Joyce, Gerbrand Ceder, Anubhav Jain   +7 more
wiley   +1 more source

Deep neural mapping unilateral relaxed support vector machines for imbalanced data

Discover Computing
The challenge of imbalanced and small-sample data poses a fundamental constraint for classifiers in critical domains such as medical diagnosis, industrial fault detection and biometric recognition.
Haoran Jing, Han Zhang, Nan Wang
doaj   +1 more source

A unified benchmarking framework for vector databases in scalable embedding-based image retrieval systems

Frontiers in Computer Science
Modern image retrieval and similarity search systems rely on high-dimensional embeddings that are produced by deep neural networks. To store and query these embeddings, vector databases are used.
Somula Ramasubbareddy, S. Remya, Sathishkumar Veerappampalayam Easwaramoorthy, Gaddam A. Sanjeeva Reddy, Yong Yun Cho, Manu J. Pillai   +5 more
doaj   +1 more source

A Closed‐Loop Framework for Inverse Design: Dynamic Training and Intelligent Optimization for Heterostructured Materials

Advanced Science, EarlyView.
To accelerate the inverse design of heterostructured metal matrix composites, a closed‐loop scientific machine learning framework integrates continual learning prediction with NSGA‐II‐PMCP optimization. The framework maps microstructural descriptors to strength, toughness, and modulus, expands high‐quality Pareto solutions, and guides experimentally ...
Zhiyan Zhong, Xueru Zheng, Xiao Zhou, Zhengheng Tao, Wan Han, Jingyi Pan, Dian Wu, Ning Gao, Lei Liu, Zhongyang Wang, Fanchao Meng, Tongxiang Fan   +11 more
wiley   +1 more source

Advancing predictive analytics in child malnutrition: Machine, ensemble and deep learning models with balanced class distribution for early detection of stunting and wasting

Human Nutrition & Metabolism
Child malnutrition remains a critical public health challenge in sub-Saharan Africa, with traditional surveillance methods proving inadequate for early detection and intervention.
Wisdom Richard Mgomezulu, Paul Thangata, Bertha Mkandawire, Nana Amoah   +3 more
doaj   +1 more source

Towards a Knowledge-Based Recommender System for Linking Electronic Patient Records With Continuing Medical Education Information at the Point of Care

IEEE Access, 2019
Given the limits of human memory, clinicians have trouble recalling therapeutic recommendations, even when the clinician previously judged that the information relevant for the care of a specific patient.
Manuel Gil, Reem El Sherif, Manon Pluye, Benjamin C. M. Fung, Roland Grad, Pierre Pluye   +5 more
doaj   +1 more source

BraMARS: An Interpretable Histopathology‐Driven Deep Learning Model for Brain Metastasis Risk Stratification in Surgically Resected Limited‐Stage SCLC

Advanced Science, EarlyView.
This study presents BraMARS, an explainable deep learning model that estimates future brain metastasis risk in surgically resected limited‐stage small‐cell lung cancer using routine H&E‐stained whole‐slide images. By linking model‐attributed spatial histopathology with clinical outcomes and proteomic programs, BraMARS provides a biologically ...
Zijian Yang, Taolue Wang, Shilong Liu, Zicheng Zhang, Yibo Zhang, Fan Yang, Bo Yu, Shuaishuai Gao, Yu Chen, Lin Yang, Meng Zhou   +10 more
wiley   +1 more source