Hematology

Lymphoma

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

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Showing 22-42 of 8,923 articles
Gene expression cluster differences and molecular correlation with the STING pathway in orbital MALT lymphoma and orbital IgG4-related eye disease.

PURPOSE: Mucosa-associated lymphoid tissue (MALT) lymphoma in the orbital region and IgG4-related op...

Classification of patients with relapsed/refractory large B-cell lymphoma who do not develop early CRS/NE toxicity using ZUMA clinical trial data.

BACKGROUND: We aimed to develop an actionable and feasible prospective clinical model to estimate to...

Recent Advances in Non-Planar Collectors for Melt Electrowriting (MEW): Creating Physiologically Relevant Scaffold Structures for Tissue Engineering.

Melt electrowriting (MEW) is an advanced additive manufacturing technique that offers unprecedented ...

NUPES : Non-Uniform Post-Training Quantization via Power Exponent Search.

Deep neural network (DNN) deployment has been confined to larger hardware devices due to their expen...

Exhaled gas biomarkers: a non-invasive approach for distinguishing diabetes and its complications.

Exhaled gas detection offers a safe, convenient, and non-invasive clinical diagnostic method for pre...

Transfer learning based deep architecture for lung cancer classification using CT image with pattern and entropy based feature set.

Early detection of lung cancer, which remains one of the leading causes of death worldwide, is impor...

Graph Neural Network Driven Exploration of Non-Precious Metal Catalysts for Air-to-Ammonia Conversion.

Efficient ammonia production directly from the air with minimal energy consumption remains one of th...

Serum metabolic patterns reveal the diagnostic and prognostic role of alanine abnormality in ocular adnexal lymphoma.

Ocular adnexal lymphoma (OAL) is the most common orbital malignancy in adults. Advanced tools for pr...

A non-optically active lake salinity dataset by satellite remote sensing.

Water salinity characterizes the physicochemical properties of natural water, serving as an essentia...

Thrombospondin-2 is a performant biomarker of at-risk MASH and advanced MASH fibrosis in a large multicentre European cohort.

BACKGROUND: Non-invasive biomarkers with biological rationale are needed for identifying patients wi...

Prediction for the development of preeclampsia through non-invasive hemodynamics using machine learning, distinguishing early from late.

Preeclampsia (PE) and hypertensive disorders of pregnancy (HDP) are major contributors to maternal-f...

Non-invasive breath testing to detect colorectal cancer: protocol for a multicentre, case-control development and validation study (COBRA2 study).

BACKGROUND: Colorectal cancer (CRC) is the fourth most common cancer in the United Kingdom. The five...

A web-based prediction model for brain metastasis in non-small cell lung cancer patients.

BACKGROUND: Brain metastasis (BM) stands as a significant contributor to mortality among cancer pati...

Comparing non-machine learning vs. machine learning methods for Ki67 scoring in gastrointestinal neuroendocrine tumors.

The Ki67 score is a crucial prognostic biomarker for neuroendocrine tumors, but its manual assessmen...

Noninvasive and Sensitive Biosensor for the Detection of Oral Cancer Prognostic Biomarkers.

Early detection of oral squamous cell carcinoma (OSCC) significantly enhances treatment outcomes and...

Advances in non-invasive diagnostic tools for endometriosis: A narrative review of the past ten years.

Endometriosis is a chronic condition defined by endometrium-like tissue outside the uterus, with sym...

Machine Learning for Prediction of High-Risk Hospitalizations in Lymphoma Patients: A Danish Population-Based Study.

OBJECTIVE: Infections are a leading cause of hospitalization in patients treated for lymphoma and ca...

The potential of machine learning in classifying relapse and non-relapse in children with clubfoot based on movement patterns.

The diverse nature and timing of a clubfoot relapse pose challenges for early detection. A relapsed ...

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