Leukemia

Efficacy of Pulse Methylprednisolone in Treatment of Acute Respiratory Distress Syndrome due to Malaria: A Randomized Controlled Clinical Trial.

: To study the efficacy of pulse methylprednisolone (MPS) therapy in patients with malaria-associate...

HEAP: a task adaptive-based explainable deep learning framework for enhancer activity prediction.

Enhancers are crucial cis-regulatory elements that control gene expression in a cell-type-specific m...

DETERMINATION OF THE PRA POSITIVITY PERCENTAGE IN MALE PATIENTS WITH CHRONIC KIDNEY DISEASE BY USING FLOW CYTOMETRY TECHNIQUE.

The antibodies directed against human leukocyte antigen (HLA) molecules, which play a crucial role i...

Histology-Based Prediction of Therapy Response to Neoadjuvant Chemotherapy for Esophageal and Esophagogastric Junction Adenocarcinomas Using Deep Learning.

PURPOSE: Quantifying treatment response to gastroesophageal junction (GEJ) adenocarcinomas is crucia...

MITNet: a fusion transformer and convolutional neural network architecture approach for T-cell epitope prediction.

Classifying epitopes is essential since they can be applied in various fields, including therapeutic...

Deep Learning-Based Predictive Model for Revascularization of Chronic Total Occlusions on Angiographic Imaging.

Revascularization of chronic total occlusions (CTO) is currently one of the most complex procedures ...

ChatGPT for phenotypes extraction: one model to rule them all?

Information Extraction (IE) is a core task in Natural Language Processing (NLP) where the objective ...

Automated Matching of Patients to Clinical Trials: A Patient-Centric Natural Language Processing Approach for Pediatric Leukemia.

PURPOSE: Matching patients to clinical trials is cumbersome and costly. Attempts have been made to a...

Prediction of all-cause mortality for chronic kidney disease patients using four models of machine learning.

BACKGROUND: The prediction tools developed from general population data to predict all-cause mortali...

An Artificial Intelligence-Based Diagnostic System for Acute Lymphoblastic Leukemia Detection.

This study suggests a novel Acute Lymphoblastic Leukemia (ALL) diagnostic model, built solely on com...

Robot-assisted laparoscopic enucleation in the treatment of leiomyosarcoma of urinary bladder: A case report.

Leiomyosarcoma of urinary bladder (LMS-UB) is a highly malignant mesenchymal tumor, accounting for l...

Radiomics in colorectal cancer patients.

The main therapeutic options for colorectal cancer are surgical resection and adjuvant chemotherapy ...

AIONER: all-in-one scheme-based biomedical named entity recognition using deep learning.

MOTIVATION: Biomedical named entity recognition (BioNER) seeks to automatically recognize biomedical...

Laparoscopic TAPP to treat inguinal hernia. Is the robot preferable? A review and cohort-study on anatomical landmarks of robotic-assisted transabdominal preperitoneal groin hernia repair (r-TAPP).

In this review, the advantages of the robotic platform in rTAPP are presented and discussed. Against...

Human, all too human - why artificial intelligence cannot "author" papers.

Clinical impact of artificial intelligence-based solutions on imaging of the pancreas and liver.

Artificial intelligence (AI) has experienced substantial progress over the last ten years in many fi...

[A Case of Locally Advanced Sigmoid Colon Cancer Invading the Urinary Bladder Treated with Neoadjuvant Chemotherapy and Robot Assisted Urinary Bladder-Conserving Surgery].

We report a case of 72s male with locally advanced sigmoid colon cancer. Colonoscopy revealed an adv...

DrugMAP: molecular atlas and pharma-information of all drugs.

The efficacy and safety of drugs are widely known to be determined by their interactions with multip...

Artificial Intelligence and Nursing: It's All About Trust.

[Clinical study on application of 3D Slicer software assisted domestic frameless stereotactic robot in biopsy of intracranial lesions].

To examine the application value of 3D Slicer software assisted domestic frameless stereotactic rob...

DeepCellEss: cell line-specific essential protein prediction with attention-based interpretable deep learning.

MOTIVATION: Protein essentiality is usually accepted to be a conditional trait and strongly affected...