Hematology

Latest AI and machine learning research in hematology for healthcare professionals.

8,233 articles
Stay Ahead - Weekly Hematology research updates
Subscribe
Browse Categories
Showing 3340-3360 of 8,233 articles
Robust White Blood Cell Classification with Stain-Normalized Decoupled Learning and Ensembling

White blood cell (WBC) classification is fundamental for hematology applications such as infection a...

Parkinson's Disease motor and non-motor progression models emerge from pathway-level transcriptomics

Background Prognosis and therapeutic management in Parkinson's disease is a challenging task by its ...

Onco-Shikshak: An AI-Native Adaptive Learning Ecosystem for Medical Oncology Education

Medical oncology education faces a dual crisis: knowledge velocity that outpaces static curricula an...

Agentic Trial Emulation to Learn Health System-specific Drug Effects At Scale

Objective: Electronic Health Record (EHR)-based trial emulation can support translation of randomize...

p-Brain: An Automated MRI Pipeline for Cerebral Perfusion, Microvasculature, and Blood-Brain Barrier Permeability Estimation

We present p-Brain, an end-to-end neuroimaging analysis framework for reproducible, automated quanti...

Multi-Model Clinical Validation of an AI-Powered Biomarker Analysis Framework: A Cross-Vendor Benchmark on 4,018 NHANES Patients

Background: Large language models (LLMs) show promise for clinical decision support, yet most valida...

Enhancing ML-based binder design with high-throughput screening: a comparison of mRNA and yeast display technologies

Recent advances in machine learning (ML)-based protein design methods have enabled the rapid in sili...

A single-cell atlas and aging clock define biological age and risk-associated stem cell states in human hematopoiesis

Aging of hematopoietic stem and progenitor cells (HSPCs) impairs regenerative capacity and predispos...

A custom phenotypic profile for Fanconi anemia: Addressing gaps in existing disease annotations

Fanconi anemia (FA) is a rare genetic disorder of impaired DNA repair characterized by progressive b...

AI-Driven Clinical Decision Support System for Enhanced Diabetes Diagnosis and Management

Identifying type 2 diabetes mellitus can be challenging, particularly for primary care physicians. C...

Predicting Obstetric and Non-obstetric Diagnoses Co-occurrences during Pregnancy

Pregnancy care often involves simultaneous obstetric and other medical conditions, but their co-occu...

A high-fat hypertensive diet induces a coordinated perturbation signature across cell types in thoracic perivascular adipose tissue

Perivascular adipose tissue (PVAT), an intriguing layer of fat surrounding blood vessels, regulates ...

ESUS-AI:a machine learning framework to estimate the most likely embolic source in embolic stroke of undetermined source

Background and Purpose Embolic stroke of undetermined source (ESUS) emains a major diagnostic challe...

Personalised approach to hypertension treatment: Rationale and design of the HYPERMARKER randomised trial

Background and Objective: Blood pressure treatment response is variable in individual patients, and ...

Benchmarking and Enhancing PPG-Based Cuffless Blood Pressure Estimation Methods

Cuffless blood pressure screening based on easily acquired photoplethysmography (PPG) signals offers...

Prediction of Mutations and Outcome in Gastrointestinal Stromal Tumors with Deep Learning: A Multicenter, Multinational Study

Background: Gastrointestinal stromal tumor (GIST) is the most common gastrointestinal mesenchymal tu...

Development and internal validation of risk scores to predict survival in the pediatric population following in-hospital cardiac arrest.

Introduction In-hospital cardiac arrest (IHCA) in the pediatric population is associated with poor s...

Improving mortality prediction in critically ill cancer patients with a multidimensional machine learning model

Background: Prognostic assessment in critically ill patients with cancer remains challenging, as con...

Physics-Informed Neural Network for Mapping Vascular and Tissue Dynamics Using Laser Speckle Contrast Imaging

Significance: Quantitatively mapping both cerebral blood flow and tissue dynamics from laser speckle...

Predicting Anemia Among Under-Five Children in Nepal Using Machine Learning and Deep Learning

Childhood anemia remains a major public health challenge in Nepal and is associated with impaired gr...

Machine Learning-Based Non-Invasive Diagnosis of Anemia in Children Using Palm Image Analysis

Abstract: Anemia, particularly iron-deficiency anemia, is a critical global health concern, with a h...

Browse Categories