Latest AI and machine learning research in chemotherapy for healthcare professionals.
OBJECTIVES: This study aimed to develop machine learning (ML) prediction models for identifying bloo...
Deep learning models have emerged as rapid, accurate, and effective approaches for clinical decision...
The second most common malignant tumour in women worldwide, cervical cancer seriously jeopardizes th...
INTRODUCTION: Patient body composition (BC) has been shown to help predict clinical outcomes in rect...
PURPOSE: Neoadjuvant chemotherapy (NAC) is increasingly used in breast cancer. Predictive modeling i...
BACKGROUND: Prostate cancer is the second leading cause of death among American men. If detected and...
BACKGROUND: Predicting pathological complete response (pCR) from pre or post-treatment features coul...
BACKGROUND AND AIM: Pancreatic cancer is lethal and prevalent among other cancer types. The recurren...
RATIONALE AND OBJECTIVES: The early prediction of response to neoadjuvant chemotherapy (NAC) will ai...
Fluorouracil-based chemotherapy responses in colorectal cancer (CRC) patients vary widely, highlight...
Anoikis-related genes (ANRGs) are crucial in the invasion and metastasis of breast cancer (BC). The...
BACKGROUND: Interferon-alpha1b (IFN-α1b) has shown remarkable therapeutic potential as adjuvant ther...
BACKGROUND: Lanthanide-based nanomaterials offer a promising alternative for cancer therapy because ...
Multi-modal image analysis using deep learning (DL) lays the foundation for neoadjuvant treatment (N...
Materials data science and machine learning (ML) are pivotal in advancing cancer treatment strategie...
OBJECTIVES: Routine monitoring of renal and hepatic function during chemotherapy ensures that treatm...
Cell shape reflects the spatial configuration resulting from the equilibrium of cellular and environ...
Cancer remains an increasing global health issue and is projected to cause 50% of all global deaths ...
Multimodal cancer therapies are often required for progressive cancers due to the high persistence a...
BACKGROUND: To evaluate the effectiveness of a deep learning denoising approach to accelerate diffus...
Relapse and metastasis occur in 30-40% of breast cancer patients, even after targeted treatments lik...