Hematology

Leukemia

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

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Integrating bulk RNA-seq and scRNA-seq analyses with machine learning to predict platinum response and prognosis in ovarian cancer.

Platinum-based therapy is an integral part of the standard treatment for ovarian cancer. However, de...

May 2025 40450069
Improved Accuracy in Pelvic Tumor Resections Using a Real-Time Vision-Guided Surgical System

Pelvic bone tumor resections remain significantly challenging due to complex three-dimensional ana...

Machine learning identifies SRD5A3 as a propionate-related prognostic biomarker in triple-negative breast cancer.

The increased risk of recurrence and metastasis are obstacles to treating TNBC. Propionate-related g...

May 2025 40442220
Developing hybrid mechanistic and data-driven personalized prediction models for platelet dynamics

Hematotoxicity, drug-induced damage to the blood-forming system, is a frequent side effect of cyto...

Improving Heart Rejection Detection in XPCI Images Using Synthetic Data Augmentation

Accurate identification of acute cellular rejection (ACR) in endomyocardial biopsies is essential ...

[Integrated diagnosis and treatment of peritoneal metastasis in gastric cancer].

The high incidence and mortality rates of gastric cancer pose a significant burden on human health a...

May 2025 40404362
UltraBoneUDF: Self-supervised Bone Surface Reconstruction from Ultrasound Based on Neural Unsigned Distance Functions

Background: Bone surface reconstruction plays a critical role in computer-assisted orthopedic surg...

An Inclusive Foundation Model for Generalizable Cytogenetics in Precision Oncology

Chromosome analysis is vital for diagnosing genetic disorders and guiding cancer therapy decisions...

Predicting Neo-Adjuvant Chemotherapy Response in Triple-Negative Breast Cancer Using Pre-Treatment Histopathologic Images

Triple-negative breast cancer (TNBC) is an aggressive subtype defined by the lack of estrogen rece...

Deep transfer learning approach for automated cell death classification reveals novel ferroptosis-inducing agents in subsets of B-ALL.

Ferroptosis is a recently described type of regulated necrotic cell death whose induction has anti-c...

May 2025 40382332
An AI-based automatic leukemia classification system utilizing dimensional Archimedes optimization.

Leukemia is a common type of blood cancer marked by the abnormal and uncontrolled proliferation and ...

May 2025 40379734
Artificial intelligence generated 3D body composition predicts dose modifications in patients undergoing neoadjuvant chemotherapy for rectal cancer.

PURPOSE: Chemotherapy administration is a balancing act between giving enough to achieve the desired...

May 2025 40379920
Protein Profiles Predict Treatment Responses to the PI3K Inhibitor Umbralisib in Patients with Chronic Lymphocytic Leukemia.

PURPOSE: The management of chronic lymphocytic leukemia (CLL) has significantly improved with target...

May 2025 40085050
Longitudinal changes in body composition during palliative systemic chemotherapy and survival outcomes in metastatic colorectal cancer.

BACKGROUND: In patients with metastatic colorectal cancer, chemotherapy may lead to changes in body ...

May 2025 40487967
FastConformation: A Standalone ML-Based Toolkit for Modeling and Analyzing Protein Conformational Ensembles at Scale.

Deep learning approaches like AlphaFold 2 (AF2) have revolutionized structural biology by accurately...

May 2025 40463224
SOHO State of the Art Updates and Next Questions | The Evolving Landscape of Prognostic Models in Chronic Lymphocytic Leukemia.

The advent of targeted therapies has profoundly altered the prognostic landscape of chronic lymphocy...

May 2025 40480900
Learning-Based Classification of B- and T-Cell Lymphoma on Histopathological Images: A Multicenter Study.

Lymphoma, a clonal malignancy from lymphocytes, includes diverse subtypes requiring distinct immunoh...

May 2025 40360162
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