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Showing 1282-1302 of 3,613 articles

Hair Transplantation: State of the Art.

BACKGROUND: Hair transplantation is a minimally invasive procedure for treating hair loss in men and...

May 2025 40354670

Unraveling the molecular mechanisms of paclitaxel in high-grade serous ovarian cancer through network pharmacology.

High-grade serous ovarian cancer (HGSOC) is the most common and aggressive subtype of epithelial ova...

May 2025 40355485

[Pulmonary vascular interventions: innovating through adaptation and advancing through differentiation].

Pulmonary vascular intervention technology, with its minimally invasive and precise advantages, has ...

May 2025 40300864

Dissecting the genetic complexity of myalgic encephalomyelitis/chronic fatigue syndrome via deep learning-powered genome analysis.

Myalgic encephalomyelitis/chronic fatigue syndrome (ME/CFS) is a complex, heterogeneous, and systemi...

May 2025 40321247

Application of in-silico approaches in subunit vaccines: Overcoming the challenges of antigen and adjuvant development.

Subunit vaccines are crucial in preventing modern diseases due to their safety, stability, and abili...

May 2025 40086761

CAST: Time-Varying Treatment Effects with Application to Chemotherapy and Radiotherapy on Head and Neck Squamous Cell Carcinoma

Causal machine learning (CML) enables individualized estimation of treatment effects, offering cri...

May 2025 http://arxiv.org/abs/2505.06367v1

Development of a prognostic model for osteosarcoma based on macrophage polarization-related genes using machine learning: implications for personalized therapy.

While neoadjuvant chemotherapy combined with surgical resection has improved the prognosis for patie...

May 2025 40343502

A quantitative characterization of the heterogeneous response of glioblastoma U-87 MG cell line to temozolomide.

Most cancers are genetically and phenotypically heterogeneous. This includes subpopulations of cells...

May 2025 40341226

Optimization of guidelines for Risk Of Recurrence/Prosigna testing using a machine learning model: a Swedish multicenter study.

PURPOSE: Gene expression profiles are used for decision making in the adjuvant setting in hormone re...

May 2025 40347583

Machine learning algorithms integrating positron emission tomography/computed tomography features to predict pathological complete response after neoadjuvant chemoimmunotherapy in lung cancer.

OBJECTIVES: Reliable methods for predicting pathological complete response (pCR) in non-small cell l...

May 2025 40221851

Multimodal Doctor-in-the-Loop: A Clinically-Guided Explainable Framework for Predicting Pathological Response in Non-Small Cell Lung Cancer

This study proposes a novel approach combining Multimodal Deep Learning with intrinsic eXplainable...

May 2025 http://arxiv.org/abs/2505.01390v1

Automated segmenta-on of pediatric neuroblastoma on multi-modal MRI: Results of the SPPIN challenge at MICCAI 2023

Surgery plays an important role within the treatment for neuroblastoma, a common pediatric cancer....

May 2025 http://arxiv.org/abs/2505.00369v1

Predicting Recurrence in Locally Advanced Rectal Cancer Using Multitask Deep Learning and Multimodal MRI.

Purpose To develop and validate a deep multitask network, MultiRecNet, for fully automatic predictio...

May 2025 40445102

Optimizing chemoradiotherapy for malignant gliomas: a validated mathematical approach

Malignant gliomas (MGs), particularly glioblastoma, are among the most aggressive brain tumors, wi...

Apr 2025 http://arxiv.org/abs/2504.17481v1

Optimizing Post-Cancer Treatment Prognosis: A Study of Machine Learning and Ensemble Techniques

The aim is to create a method for accurately estimating the duration of post-cancer treatment, par...

Apr 2025 http://arxiv.org/abs/2504.16135v1

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 illn...

Apr 2025 http://arxiv.org/abs/2504.14469v1

Assessing the quality and readability of patient education materials on chemotherapy cardiotoxicity from artificial intelligence chatbots: An observational cross-sectional study.

Artificial intelligence (AI) and the introduction of Large Language Model (LLM) chatbots have become...

Apr 2025 40228277

Leveraging Convolutional Neural Networks for Predicting Symptom Escalation in Chemotherapy Patients: A Temporal Resampling Approach.

This paper introduces a novel approach for predicting symptom escalation in chemotherapy patients by...

Apr 2025 40200443

Oncology/Hematology

Browse Categories

Hair Transplantation: State of the Art.

Unraveling the molecular mechanisms of paclitaxel in high-grade serous ovarian cancer through network pharmacology.

[Pulmonary vascular interventions: innovating through adaptation and advancing through differentiation].

Dissecting the genetic complexity of myalgic encephalomyelitis/chronic fatigue syndrome via deep learning-powered genome analysis.

Application of in-silico approaches in subunit vaccines: Overcoming the challenges of antigen and adjuvant development.

CAST: Time-Varying Treatment Effects with Application to Chemotherapy and Radiotherapy on Head and Neck Squamous Cell Carcinoma

Development of a prognostic model for osteosarcoma based on macrophage polarization-related genes using machine learning: implications for personalized therapy.

A quantitative characterization of the heterogeneous response of glioblastoma U-87 MG cell line to temozolomide.

Optimization of guidelines for Risk Of Recurrence/Prosigna testing using a machine learning model: a Swedish multicenter study.

Machine learning algorithms integrating positron emission tomography/computed tomography features to predict pathological complete response after neoadjuvant chemoimmunotherapy in lung cancer.

Multimodal Doctor-in-the-Loop: A Clinically-Guided Explainable Framework for Predicting Pathological Response in Non-Small Cell Lung Cancer

Automated segmenta-on of pediatric neuroblastoma on multi-modal MRI: Results of the SPPIN challenge at MICCAI 2023

Predicting Recurrence in Locally Advanced Rectal Cancer Using Multitask Deep Learning and Multimodal MRI.

Optimizing chemoradiotherapy for malignant gliomas: a validated mathematical approach

Optimizing Post-Cancer Treatment Prognosis: A Study of Machine Learning and Ensemble Techniques

A computational framework for longitudinal medication adherence prediction in breast cancer survivors: A social cognitive theory based approach

Assessing the quality and readability of patient education materials on chemotherapy cardiotoxicity from artificial intelligence chatbots: An observational cross-sectional study.

Leveraging Convolutional Neural Networks for Predicting Symptom Escalation in Chemotherapy Patients: A Temporal Resampling Approach.

Regulation of Dendritic Cell Function by Ermiaosan via the EP4-cAMP-CREB Signaling Pathway

Cancer Vaccine Adjuvant Name Recognition from Biomedical Literature using Large Language Models

Automatic quantification of breast cancer biomarkers from multiple 18F-FDG PET image segmentation

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