Hematology

Lymphoma

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

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Novel AI Guided Non-Expert Compression Ultrasound DVT Diagnostic Pathway May Reduce Vascular Laboratory Venous Testing .

OBJECTIVE: Ultrasonography and D-dimer testing are established modalities for evaluating potential l...

Single-cell RNA sequencing reveals immunological link between house dust mite allergy and childhood asthma.

Allergic asthma in children is typically associated with house dust mites (HDM) as the key allergen....

Using machine learning methods to predict the diabatic bond dissociation energy of non-heme iron complexes.

Bond dissociation energy (BDE) is an important property in chemical research. In the process of non-...

Machine learning workflows beyond linear models in low-data regimes.

Data-driven methodologies are transforming chemical research by providing chemists with digital tool...

Prediction of Glomerular Filtration Rate Following Partial Nephrectomy for Localized Renal Cell Carcinoma with Different Machine Learning Techniques.

: Partial nephrectomy (PN) is the preferred option for treating localized cT1 renal cell carcinoma (...

A large annotated dataset of vocalizations by common marmosets.

Non-human primates, our closest relatives, use a wide range of complex vocal signals for communicati...

Segmentation of renal vessels on non-enhanced CT images using deep learning models.

OBJECTIVE: To evaluate the possibility of performing renal vessel reconstruction on non-enhanced CT ...

Predicting growth parameters of biofertilizer inoculated pepper, using root capacitance assessments and artificial neural networks in two soils.

Monitoring the root system plays an important role in understanding plant physiological processes; h...

Data-Driven Insights into Porphyrin Geometry: Interpretable AI for Non-Planarity and Aromaticity Analyses.

Porphyrins are involved in numerous and very different chemical and biological processes, due to the...

Identification of Phase Transformations in Alloy and Non-Alloy Steel During Austempering Using Acoustic Emission and Neural Network.

This research was carried out for selected alloy (bearing) and non-alloy (tool) steel. The steels we...

Performance of fully automated deep-learning-based coronary artery calcium scoring in ECG-gated calcium CT and non-gated low-dose chest CT.

OBJECTIVES: This study aimed to validate the agreement and diagnostic performance of a deep-learning...

Integration of sentinel node mapping and molecular classification in endometrial cancer staging.

Sentinel node mapping has gained popularity in surgical staging of endometrial cancer, providing a l...

Blood-brain barrier crossing biopolymer targeting c-Myc and anti-PD-1 activate primary brain lymphoma immunity: Artificial intelligence analysis.

Primary Central Nervous System Lymphoma is an aggressive central nervous system neoplasm with poor r...

A novel scheme for non-invasive drug delivery with a magnetically controlled drug delivering capsule endoscope.

There is a lack of effective means for precise drug delivery of gastrointestinal diseases. Herein we...

Endometrial tumorigenesis involves epigenetic plasticity demarcating non-coding somatic mutations and 3D-genome alterations.

BACKGROUND: The incidence and mortality of endometrial cancer (EC) is on the rise. Eighty-five perce...

Thirty-day mortality risk prediction for geriatric patients undergoing non-cardiac surgery in the surgical intensive care unit.

BACKGROUND: The prediction of mortality for elderly patients undergoing non-cardiac surgeries is a v...

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