Randomized Explainable Machine Learning Models for Efficient Medical Diagnosis

Information Science, Computer Science, Artificial Intelligence, Medicine, Medical Laboratory Science, Urology, Nephrology, Medical Imaging, Oncology, Cardiovascular System,
medical diagnosis   randomized models   explainable artificial intelligence   extreme learning machines   random vector functional link   big data   deep learning  

New Breakthrough in Intelligent Medical Diagnosis: Randomized Explainable Machine Learning Models Drive Efficient Medical Diagnostics I. Academic Background and Research Motivation In recent years, Deep Learning (DL) models have played a crucial role in the field of healthcare. By processing vast amounts of medical data, DL significantly improves t...

From Digital Twins in Healthcare to the Virtual Human Twin: A Moon-Shot Project for Digital Health Research

Information Science, Computer Science, Artificial Intelligence, Medicine, Basic Medical Sciences, Medical Imaging, Life Sciences, Bioengineering,
digital twin   virtual human twin   digital health   clinical decision support   personalized health forecasting  

From Digital Twin to Virtual Human Twin: A “Moonshot” Project in Digital Health 1. Academic Background and Research Motivation Currently, the global healthcare system continues to face numerous unmet clinical and social needs, which manifest as a lack of treatment options, insufficient and expensive medical resources, lengthy waiting times, and ina...

Large-scale plasma proteomic profiling unveils diagnostic biomarkers and pathways for Alzheimer's disease

Information Science, Artificial Intelligence, Medicine, Medical Laboratory Science, Geriatrics, Neurology, Life Sciences, Cell Biology, Biochemistry, Genetics,
Alzheimer's disease   proteomics   biomarkers   plasma proteins   disease diagnosis   pathway analysis  

1. Research Background and Academic Significance Alzheimer’s Disease (AD) is the most common form of dementia worldwide, accounting for about 60–80% of all dementia cases. The primary affected population is individuals over 65 years old, with characteristic pathological features including the deposition of amyloid-β plaques, neurofibrillary tangles...

Generative Prediction of Causal Gene Sets Responsible for Complex Traits

Information Science, Artificial Intelligence, Life Sciences, Cell Biology, Biochemistry, Bioengineering, Genetics,
gene regulatory networks   complex traits   generative deep learning   variational autoencoder   causal gene sets   phenotypic variation   polygenic diseases  

Generative Deep Learning for Predicting Causal Gene Sets of Complex Traits: PNAS Landmark New Method Explained I. Academic Background and Research Motivation The Dilemma of Complex Traits The relationship between genotype and phenotype has long been one of the core issues in biology and genetics. This challenge is especially prominent in the study ...

Cross-species modeling of plant genomes at single-nucleotide resolution using a pretrained DNA language model

Information Science, Computer Science, Artificial Intelligence, Life Sciences, Biochemistry, Bioengineering, Genetics, Botany,
plant genomics   deep learning   DNA language model   cross-species prediction   deleterious mutation   gene annotation   angiosperm  

A Milestone in Cross-Species Modeling of Plant Genomes: Creation and Breakthrough Application of the PlantCaduceus DNA Language Model I. Academic Background and Research Motivation In the past two decades, with the rapid development of high-throughput sequencing technology, over 1,000 plant genomes have been published, and this number is expected t...

Amortized Template Matching of Molecular Conformations from Cryoelectron Microscopy Images Using Simulation-Based Inference

Information Science, Artificial Intelligence, Medicine, Medical Imaging, Life Sciences, Cell Biology, Biochemistry, Biophysics,
cryo-EM   biophysics   Bayesian inference   molecular modeling   template matching   deep learning   structural biology  

Accelerating Single-Molecule Structure Identification with Simulation-Based Inference — Research Report on “Amortized Template Matching of Molecular Conformations from Cryoelectron Microscopy Images using Simulation-Based Inference” Research Background and Significance In the fields of molecular biology and structural biology, understanding how bio...