Hematology

Leukemia

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

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Advances in molecular pathology and therapy of non-small cell lung cancer.

Over the past two decades, non-small cell lung cancer (NSCLC) has witnessed encouraging advancements...

Machine learning-based models for outcome prediction in skull base and spinal chordomas: a systematic review and meta-analysis.

BACKGROUND: Chordomas are primary bone lesions originating from embryonic notochord remnants, most c...

Automated quantitative analysis of peri-articular bone microarchitecture in HR-pQCT knee images.

UNLABELLED: Applying HR-pQCT to image the knee necessitates the development and validation of novel ...

RNAS-sgRNA: Recurrent Neural Architecture Search for Detection of On-Target Effects in Single Guide RNA.

Clustered Regularly Interspaced Short Palindromic Repeats (CRISPR)/Cas9 is a leading genomic editing...

One Profile to Rule Them All? A Neural Network Analysis of the Homogenizing Effect of Primary Rhinoplasty.

BACKGROUND: A goal of aesthetic rhinoplasty is to improve nasal aesthetics while preserving individu...

DeepHeme, a high-performance, generalizable deep ensemble for bone marrow morphometry and hematologic diagnosis.

Cytomorphological analysis of the bone marrow aspirate (BMA) is pivotal for the diagnostic workup of...

28-day all-cause mortality in patients with alcoholic cirrhosis: a machine learning prediction model based on the MIMIC-IV.

To develop and validate a machine learning prediction model for 28-day all-cause mortality in patien...

Building Trust in Clinical AI: A Web-Based Explainable Decision Support System for Chronic Kidney Disease.

Chronic Kidney Disease (CKD) is a significant global public health issue, affecting over 10% of the ...

Screening of Biomaterials for Stem Cell Culture Applications.

Stem cells have a considerable role to play in future biomedical breakthroughs due to their therapeu...

Single-cell sequencing and machine learning reveal the role of dioxin-interacting genes in HCC prognosis and immune microenvironment.

Dioxins are persistent environmental pollutants that bioaccumulate in the food chain, posing signifi...

Comparison of responses from different artificial intelligence-powered chatbots regarding the All-on-four dental implant concept.

BACKGROUND: Recent advancements in Artificial Intelligence (AI) have transformed the healthcare fiel...

Machine learning framework coupled with CADD for predicting sphingosine kinase 1 inhibitors.

Sphingosine kinase 1 (SphK1) plays a pivotal role in cancer progression, metastasis, and chemotherap...

Advancing blood cell detection and classification: performance evaluation of modern deep learning models.

The detection and classification of blood cells are important in diagnosing and monitoring a variety...

Where are all the neurosurgery robots?

Despite substantial advances in engineering, robotics, and artificial intelligence, autonomous robot...

From Molecular Precision to Clinical Practice: A Comprehensive Review of Bispecific and Trispecific Antibodies in Hematologic Malignancies.

Multispecific antibodies have redefined the immunotherapeutic landscape in hematologic malignancies....

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