Hematology

Leukemia

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

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Machine learning developed LKB1-AMPK signaling related signature for prognosis and drug sensitivity in hepatocellular carcinoma.

Hepatocellular carcinoma (HCC) is one of the most common tumors worldwide, posing a significant thre...

Artificial intelligence-driven label-free detection of chronic myeloid leukemia cells using ghost cytometry.

Early diagnosis and treatment initiation of chronic myeloid leukemia (CML) are considered to increas...

Integrative machine learning and molecular simulation approaches identify GSK3β inhibitors for neurodegenerative disease therapy.

Neurodegenerative diseases (NDDs), including Alzheimer's disease (AD) and Parkinson's disease (PD), ...

Predicting cisplatin response in cholangiocarcinoma patients using chromosome pattern and related gene expression.

Cholangiocarcinoma (CCA) is a prevalent bile duct cancer with limited treatment options. Cisplatin-b...

Aptamer-directed siRNA delivery systems for triple-negative breast cancer therapy.

Triple-negative breast cancer (TNBC) is an aggressive subtype of breast cancer characterized by the ...

Intra-tumor microbiome-based tumor survival indices predict immune interaction and drug sensitivity on pan-cancer scale.

UNLABELLED: Growing research evidence indicates a substantial influence of the intra-tumor microbiom...

All-Optical Synapses Based on a Mechanoluminescent Material.

Neuromorphic computing systems hold promises to overcome the inefficiencies of conventional von Neum...

Fully automated workflow for designing patient-specific orthopaedic implants: Application to total knee arthroplasty.

Background Osteoarthritis affects about 528 million people worldwide, causing pain and stiffness in ...

CAISR: Achieving Human-Level Performance in Automated Sleep Analysis Across All Clinical Sleep Metrics.

STUDY OBJECTIVES: To develop and validate a Complete Artificial Intelligence Sleep Report system (CA...

Quantum Kernel Learning for Small Dataset Modeling in Semiconductor Fabrication: Application to Ohmic Contact.

Modeling complex semiconductor fabrication processes such as Ohmic contact formation remains challen...

Accurate de novo design of high-affinity protein-binding macrocycles using deep learning.

Developing macrocyclic binders to therapeutic proteins typically relies on large-scale screening met...

Generalizable model to predict new or progressing compression fractures in tumor-infiltrated thoracolumbar vertebrae in an all-comer population.

OBJECTIVE: Neurosurgical evaluation is required in the setting of spinal metastases at high risk for...

A compact encoding of the genome suitable for machine learning prediction of traits and genetic risk scores.

Genotype to phenotype prediction is a central problem in biology and medicine. Machine learning is a...

An In-depth overview of artificial intelligence (AI) tool utilization across diverse phases of organ transplantation.

Artificial Intelligence (AI) offers a revolutionary approach to improve decision-making in medicine ...

Predicting the influence of yoga on chronic venous insufficiency utilizing the Multi-Layer Perceptron Classifier.

It further zeroes in on the forecasting of the effects of yoga on CVI with the aid of a broad datase...

Machine learning driven dashboard for chronic myeloid leukemia prediction using protein sequences.

The prevalence of Leukaemia, a malignant blood cancer that originates from hematopoietic progenitor ...

Next-generation cancer therapeutics: unveiling the potential of liposome-based nanoparticles through bioinformatics.

Cancer remains one of the most deadly diseases in the world, requiring constant growth and improveme...

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