Hematology

Leukemia

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

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Potential diagnostic and therapeutic gene in chronic low back pain through pyroptosis modulation: A silico study based on the dataset analysis.

Chronic low back pain (cLBP ) is a common condition that affects the quality of life, can be caused ...

Immunoscore: redefining the landscape of colorectal cancer control and care.

The Immunoscore (IS), introduced by Jerome Galon in the early 2000s, evaluates immune cell densities...

Developing a machine-learning model to enable treatment selection for neoadjuvant chemotherapy for esophageal cancer.

Although neoadjuvant chemotherapy with docetaxel + cisplatin + 5-fluorouracil (CF) has been the stan...

AI-powered prediction model for neoadjuvant chemotherapy efficacy: comprehensive analysis of breast cancer histological images.

Breast cancer patients exhibit variable responses to neoadjuvant therapy (NAT), necessitating robust...

Advantages of AI-based whole blood film scanning for blast detection in markedly leucopenic blood films.

To evaluate performance of AI-assisted blast detection via whole blood film scanning in cases of sev...

Machine Learning-Assisted Iterative Screening for Efficient Detection of Drug Discovery Starting Points.

High-throughput screening (HTS) remains central to small molecule lead discovery, but increasing ass...

A Scoping Review on AI-Supported Interventions for Non-Pharmacological Management of Chronic Rheumatic Diseases.

This review summarizes AI-supported non-pharmacological interventions for adults with chronic rheuma...

A Network-Driven Framework for Drug Response Precision Prediction of Acute Myeloid Leukemia.

Acute myeloid leukemia (AML) is a clonal malignancy of myeloid progenitor cells that demonstrates hi...

Machine learning analysis of survival outcomes in breast cancer patients treated with chemotherapy, hormone therapy, surgery, and radiotherapy.

Breast cancer continues to be a leading cause of death among women in the world. The prediction of s...

Transparent conductive oxides as a material platform for a realization of all-optical photonic neural networks.

Photonics integrated circuits have an enormous potential to serve as a framework for a new class of ...

AI based natural inhibitor targeting RPS20 for colorectal cancer treatment using integrated computational approaches.

The increasing global incidence of cancer emphasizes the vital role of machine learning algorithms a...

Single-cell spatial transcriptomics reveals immunotherapy-driven bone marrow niche remodeling in AML.

Given the graft-versus-leukemia effect observed with allogeneic hematopoietic stem cell transplantat...

Machine learning for synchronous bone metastasis risk prediction in high grade lung neuroendocrine carcinoma.

Bone metastasis (BM) is common in high-grade lung neuroendocrine tumors (NETs). This study aimed to ...

Prediction of Early Neoadjuvant Chemotherapy Response of Breast Cancer through Deep Learning-based Pharmacokinetic Quantification of DCE MRI.

Purpose To improve the generalizability of pathologic complete response (pCR) prediction following ...

Machine learning-based QSAR and structure-based virtual screening guided discovery of novel mIDH1 inhibitors from natural products.

Mutations in isocitrate dehydrogenase 1 (IDH1) have been widely observed in various tumors, such as ...

All-optical reconfiguration of single silicon-vacancy centers in diamond for non-volatile memories.

Strain engineering is vital for tuning the optical and spin properties of solid-state color centers,...

Highly Condensed All-MLP Architecture for Long-Term Human Motion Prediction.

In artificial intelligence (AI) scenarios where computational resources are constrained, such as in ...

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