Results 191 to 200 of about 529,167 (319)

Construction of a Bayesian network-based risk prediction model for hepatocellular carcinoma in cirrhotic patients. [PDF]

Front Oncol
Ma N, Song J, Yang Y.
europepmc   +1 more source

AI‐Guided Co‐Optimization of Advanced Field‐Effect Transistors: Bridging Material, Device, and Fabrication Design

Advanced Intelligent Discovery, EarlyView.
This article outlines how artificial intelligence could reshape the design of next‐generation transistors as traditional scaling reaches its limits. It discusses emerging roles of machine learning across materials selection, device modeling, and fabrication processes, and highlights hierarchical reinforcement learning as a promising framework for ...
Shoubhanik Nath, Shauryaraj K. Jilkar, Aditya Udgaonkar, Yu (Joe) Lu, Ali Mesbah   +4 more
wiley   +1 more source

A multimodal Bayesian network for symptom-level depression and anxiety prediction from voice and speech data. [PDF]

Sci Rep
Norbury A, Fairs G, Georgescu AL, Nour MM, Molimpakis E, Goria S.   +5 more
europepmc   +1 more source

Deep Siamese Networks with Bayesian Non-parametrics for Video Object Tracking [PDF]

, 2019
Anthony D. Rhodes, Manan Goel
openalex   +1 more source

Autonomous AI‐Driven Design for Skin Product Formulations

Advanced Intelligent Discovery, EarlyView.
This review presents a comprehensive closed‐loop framework for autonomous skin product formulation design. By integrating artificial intelligence‐driven experiment selection with automated multi‐tiered assays, the approach shifts development from trial‐and‐error to intelligent optimisation.
Yu Zhang, Yongrui Xiao, Chunlin Chen, Dimitrios Tsaoulidis, Kai Yang, Tao Chen   +5 more
wiley   +1 more source

Efficacy and safety of anti-prediabetic drugs in patients with prediabetes: a Bayesian network meta-analysis. [PDF]

BMC Med
Wu Y, Wang Z, Tuersun A, Yu Q, Zhong Y, Ali SSA, Liu H, Hu X, Zhang Y, Pang L, Li L, Gao L, Wu Q, Wang S, Cui M, Sun L, Wu Y, Yin A, Zhang L, Ma G.   +19 more
europepmc   +1 more source

Large-scale Score-based Variational Posterior Inference for Bayesian Deep Neural Networks [PDF]

Minyoung Kim
openalex  

Multi‐Property Machine Learning Models to Accelerate the Transition Toward Bio‐Based Emulsion Polymers

Advanced Intelligent Discovery, EarlyView.
A machine learning framework simultaneously predicts four critical properties of monomers for emulsion polymerization: propagation rate constant, reactivity ratios, glass transition temperature, and water solubility. These tools can be used to systematically identify viable bio‐based monomer pairs as replacements for conventional formulations, with ...
Kiarash Farajzadehahary, Nicholas Ballard   +1 more
wiley   +1 more source

Exploring the interaction between competitiveness of a country and innovation using Bayesian networks

, 2017
Esma Nur Çinicioğlu, Gündüz Ulusoy, Şule Önsel Ekici, Füsun Ülengin, Burç Ülengin   +4 more
openalex   +2 more sources

AI‐Driven Cancer Multi‐Omics: A Review From the Data Pipeline Perspective

Advanced Intelligent Discovery, EarlyView.
The exponential growth of cancer multi‐omics data brings opportunities and challenges for precision oncology. This review systematically examines AI's role in addressing these challenges, covering generative models, integration architectures, Explainable AI for clinical trust, clinical applications, and key directions for clinical translation.
Shilong Liu, Shunxiang Li, Kun Qian
wiley   +1 more source