Hematology

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

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Predicting how perturbations reshape cellular trajectories with PerturbGen

A major challenge in biology is predicting how cells transition between states over time and how per...

Uncertainty-aware Blood Glucose Prediction from Continuous Glucose Monitoring Data

In this work, we investigate uncertainty-aware neural network models for blood glucose prediction an...

Beyond Language Modeling: An Exploration of Multimodal Pretraining

The visual world offers a critical axis for advancing foundation models beyond language. Despite gro...

COOL-MC: Verifying and Explaining RL Policies for Platelet Inventory Management

Platelets expire within five days. Blood banks face uncertain daily demand and must balance ordering...

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...

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