Hematology

Prevalence of aspirin resistance in Asian-Indian patients with stable coronary artery disease.

OBJECTIVE: To evaluate the prevalence of pharmacological resistance to aspirin therapy by measuring platelet functions using the technique of light transmission aggregometry.

Diabetes knowledge in young adults: associations with hemoglobin A1C.

The purpose of this study was to quantify associations between hemoglobin A1C (A1C) and diabetes knowledge score using an assessment tool developed to evaluate the level of diabetes knowledge in young adults with Type 1 diabetes (T1DM) and their parent/primary caregiver. Seventy-five participants with T1DM, ages 15-22 years, completed questionnaires. Two 25-item questionnaires were developed: one ...

A novel neural-inspired learning algorithm with application to clinical risk prediction.

Clinical risk prediction - the estimation of the likelihood an individual is at risk of a disease - is a coveted and exigent clinical task, and a corn...

Noninvasive blood glucose sensing using near infra-red spectroscopy and artificial neural networks based on inverse delayed function model of neuron.

In this paper, a non-invasive blood glucose sensing system is presented using near infra-red(NIR) spectroscopy. The signal from the NIR optodes is pro...

A novel method of adverse event detection can accurately identify venous thromboembolisms (VTEs) from narrative electronic health record data.

BACKGROUND: Venous thromboembolisms (VTEs), which include deep vein thrombosis (DVT) and pulmonary embolism (PE), are associated with significant mort...

Immediate repair of an incompletely transected obturator nerve during robotic-assisted pelvic lymphadenectomy.

Intraoperative injury of the obturator nerve may occur in gynecologic oncologic procedures when extensive pelvic side wall dissection is performed. In...

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

Laparoscopic cholecystectomy is widely considered as the treatment of choice for acute cholecystitis. The safety of the procedure and its minimal inva...

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, yet their accuracy and safety at the specialist lev...

Beyond Padua and IMPROVE: Machine Learning Outperforms Guideline Risk Scores for Prediction of Radiologically Confirmed Hospital-Acquired Venous Thromboembolism

*Background:** Hospital-acquired venous thromboembolism (VTE) is a leading preventable cause of in-hospital morbidity and mortality. Guideline-endorse...

Can You Trust Frozen Hematology Foundation Models under Acquisition Shift?

Frozen hematology foundation-model (FM) embeddings reach near-saturated in-domain white-blood-cell (WBC) accuracy, but clinical deployment demands rel...

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 poorly understood. To elucidate the role of the V1b ...

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 blood-oxygen-level-dependent (BOLD) signals in functi...

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

Automated malaria diagnosis from stained blood-smear microscopy is dominated by deep convolutional neural networks that are accurate but computational...

Multiplexed Quantification of Variant Abundance in the Globin Gene Family: Integrating Saturation Mutagenesis with Cross-Paralog Prediction

Widespread genetic testing has expanded variant identification, yet functional characterization remains a bottleneck in genome guided medicine. Here, ...

AI supported in silico screening of chimeric antigen receptor therapy targets

Chimeric antigen receptor (CAR) cell therapy has achieved transformative clinical success through targeting of CD19 in refractory B cell malignancies,...

The urinary-metabolite-based lung cancer index (uLCI): an interpretable machine-learning risk model for early-stage disease

BackgroundFive-year survival from lung cancer exceeds 60% at stage I-II but falls below 10% once metastasis occurs. Low-dose CT (LDCT) screening reduc...

Development and Validation of Interpretable Machine Learning Models for Early Prediction of Low Birth Weight in Ethiopia: A Secondary Analysis of the Ethiopian Demographic and Health Survey

Background: Low birth weight remains a primary driver of neonatal and infant mortality in Ethiopia. Machine learning models can assist early risk iden...

Retrieval-Augmented Large Language Models for Clinically Aligned Adverse Event Coding in Acute Myeloid Leukemia Clinical Trials

Background: Adverse event (AE) coding is essential for safety monitoring in oncology clinical trials, particularly in acute myeloid leukemia (AML), wh...

Deep learning-based identification and quantification of rare circulating hybrid cells in orthotopic pancreatic cancer models

Significance: Rare-cell identification in fluorescence microscopy remains challenging because targets are sparse and background varies between specime...

Harnessing Pathology Foundation Models to Accelerate Lymphoma Diagnosis Through Automated Immunohistochemistry Triage

Pathologic diagnoses of hematopoietic diseases require immunohistochemistry (IHC) stains selected by pathologists upon preview of H&E-stained slides. ...