Oncology/Hematology

Chemotherapy

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

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Showing 64-84 of 3,401 articles
A computational framework for longitudinal medication adherence prediction in breast cancer survivors: A social cognitive theory based approach.

Non-adherence to medications is a critical concern since nearly half of patients with chronic illnes...

Predicting therapeutic clinical trial enrollment for adult patients with low- and high-grade glioma using supervised machine learning.

Therapeutic clinical trial enrollment does not match glioma incidence across demographics. Tradition...

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....

Tumor-specific draining lymph node CD8 T cells orchestrate an anti-tumor response to neoadjuvant PD-1 immune checkpoint blockade.

Elucidating the anti-tumor role of tumor-draining lymph nodes (tdLNs) in patients could offer critic...

Global trends and characteristics of metal-organic frameworks in cancer research: a machine-learning-based bibliometric analysis.

BACKGROUND: Cancer poses a significant health threat, causing millions of deaths annually. Although ...

NeoPred: dual-phase CT AI forecasts pathologic response to neoadjuvant chemo-immunotherapy in NSCLC.

BACKGROUND: Accurate preoperative prediction of major pathological response or pathological complete...

Serum-Based Assessment of Alopecia Areata Response to Treatment Using ATR-FTIR Spectroscopy.

: Serum diagnostic tests for alopecia areata may be used to monitor response to treatment, aiding in...

Spatial discovery of pyrotinib overcoming HER2-positive breast cancer resistance by breaking fibroblast-induced immune barriers.

BACKGROUND: The TCbHP regimen, consisting of combining docetaxel (T), carboplatin (Cb), trastuzumab ...

Hepatitis B In Silico Trials Capture Functional Cure, Indicate Mechanistic Pathways, and Suggest Prognostic Biomarker Signatures.

In silico trials, utilizing mathematical models calibrated with clinical data, present a transformat...

[Current status and trends of perioperative immunotherapy for gastric cancer].

In recent years,immunotherapy,particularly immune checkpoint inhibitors,has been widely used in the ...

Identification of a novel chemotherapy benefit index for patients with advanced ovarian cancer based on Bayesian network analysis.

BACKGROUND: This study aims to evaluate the efficacy of chemotherapy and optimize treatment strategi...

Improved analytical workflow towards machine learning supported N-glycomics-based biomarker discovery.

The composition and function of glycans are very complex thus manual data interpretation of their st...

A novel fractional computational neural framework for analyzing cancer model under chemotherapy drug.

In this study, a novel Caputo fractional-order model is proposed to represent the complex interactio...

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