Hematology

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

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Technology advances in hospital practices: robotics in treatment of patients.

Laparoscopic cholecystectomy is widely considered as the treatment of choice for acute cholecystitis...

Sep 2014 25782187
Language models annotate mass cytometry clusters within the range where human experts disagree

Cell-type identification of clusters from unsupervised cytometry pipelines (e.g. FlowSOM, GigaSOM) i...

Implicit reconstruction of gating strategies from sample-level flow cytometry annotations

Flow cytometry is central to clinical hematology, generating extensive archives comprising billions ...

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ECG for laboratory values:A comprehensive physiological and technical analysis

Laboratory measurements are essential for clinical decision making but typically require invasive bl...

AI-Enhanced Hyperspectral Imaging for Intraoperative Detection of Low-Grade Glioma: A Clinical Study

Current image-guided neuronavigation techniques, such as intraoperative MRI and ultrasound, are limi...

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Reproducibility and Leakage-Controlled Evaluation of Machine-Learning Models for Chronic Kidney Disease Classification

Near-perfect classification of small clinical datasets can hinge on preprocessing, data leakage, mis...

De novo minibinders targeting RH5 achieve nanomolar inhibition of blood-stage malaria replication

Malaria kills {approx}600,000 people annually despite recently deployed vaccines. The parasite's blo...

ExpertoRhythm: Morphology-Aware Learning for Waveform Reconstruction and Cuffless Blood Pressure Estimation from Single-Channel PPG

Continuous cuffless blood pressure (BP) monitoring from photoplethysmography (PPG) has strong potent...

CardioChrom Reconstructs the Human Cardiac Virtual Epigenome from Single-Nucleus Transcriptomes

Background: Matched epigenomic profiling remains scarce in human heart failure, limiting regulatory ...

Multi-label versus multi-class classification of blood cells and their aggregates in microfluidic channels

Deformability cytometry (DC) is a type of imaging flow cytometry, which uses a camera-equipped devic...

Benchmarking ten frontier large language models on 1,477 board style multiple choice questions in hematology

Large Language Models (LLMs) are increasingly used by clinicians and patients for medical queries, y...

Can You Trust Frozen Hematology Foundation Models under Acquisition Shift?

Frozen hematology foundation-model (FM) embeddings reach near-saturated in-domain white-blood-cell (...

Deep learning-mediated detection of accelerated water drinking after aquaresis in V1b vasopressin receptor knockout mice

How water intake is initiated and maintained following V2 vasopressin receptor antagonism remains po...

PINN-ing the Balloon: A Physically Informed Neural Network Modelling the Nonlinear Haemodynamic Response Function in MRI

Accurate characterisation of the haemodynamic response function (HRF) is central to interpreting blo...

EMFE: A lightweight, explainable machine learning framework for malaria cell classification

Automated malaria diagnosis from stained blood-smear microscopy is dominated by deep convolutional n...

AI supported in silico screening of chimeric antigen receptor therapy targets

Chimeric antigen receptor (CAR) cell therapy has achieved transformative clinical success through ta...

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