Hematology

Lymphoma

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

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Non-Invasive Diagnosis of Moyamoya Disease Using Serum Metabolic Fingerprints and Machine Learning.

Moyamoya disease (MMD) is a progressive cerebrovascular disorder that increases the risk of intracra...

NATE: Non-pArameTric approach for Explainable credit scoring on imbalanced class.

Credit scoring models play a crucial role for financial institutions in evaluating borrower risk and...

Radiomics for differentiating adenocarcinoma and squamous cell carcinoma in non-small cell lung cancer beyond nodule morphology in chest CT.

Distinguishing between primary adenocarcinoma (AC) and squamous cell carcinoma (SCC) within non-smal...

Machine learning-based prediction of non-aeration linear alkylbenzene sulfonate mineralization in an oxygenic microalgal-bacteria biofilm.

Microalgal-bacteria biofilm shows great potential in low-cost greywater treatment. Accurately predic...

The aluminum standard: using generative Artificial Intelligence tools to synthesize and annotate non-structured patient data.

BACKGROUND: Medical narratives are fundamental to the correct identification of a patient's health c...

Bias in machine learning applications to address non-communicable diseases at a population-level: a scoping review.

BACKGROUND: Machine learning (ML) is increasingly used in population and public health to support ep...

Urinary TYROBP and HCK as genetic biomarkers for non-invasive diagnosis and therapeutic targeting in IgA nephropathy.

BACKGROUND: IgA nephropathy (IgAN) is a leading cause of renal failure, but its pathogenesis remains...

Robust and interpretable deep learning system for prognostic stratification of extranodal natural killer/T-cell lymphoma.

PURPOSE: Extranodal natural killer/T-cell lymphoma (ENKTCL) is an hematologic malignancy with progno...

Artificial neural network systems to predict the response to sintilimab in squamous-cell non-small-cell lung cancer based on data of ORIENT-3 study.

BACKGROUND: Existing biomarkers and models for predicting response to programmed cell death protein ...

Rapid detection of microplastics in chicken feed based on near infrared spectroscopy and machine learning algorithm.

The main objective of this study was to evaluate the potential of near infrared (NIR) spectroscopy a...

The Role of ctDNA in the Management of Non-Small-Cell Lung Cancer in the AI and NGS Era.

Liquid biopsy (LB) involves the analysis of circulating tumour-derived DNA (ctDNA), providing a mini...

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