Latest AI and machine learning research in chemotherapy for healthcare professionals.
BACKGROUND: First-line treatment of gastric cancer is evolving with the integration of immune checkpoint inhibitors (ICIs) and targeted agents, complicating biomarker stratification. Claudin 18.2 (CLDN18.2) is an established target for zolbetuximab; however, immunohistochemistry (IHC) is limited by tissue requirements, cost, and turnaround time. Artificial intelligence (AI) analysis of hematoxylin...
Anthracycline chemotherapeutics are common chemotherapeutics that have substantial toxicities. There is substantial interpatient pharmacokinetic variability, though there is no method to quantify organ or tumor exposure. Here, we exposed an optical nanosensor array to detect each of four anthracyclines. We screened 12 ssDNA sequences paired with seven single-walled carbon nanotube (n,m) species ag...
BACKGROUND: To develop a combined model integrating intratumoral and peritumoral delta-radiomics from multi-parametric MRI with clinical features for ...
INTRODUCTION: The management of rectal adenocarcinoma requires navigation of complex, branching guideline pathways encompassing neoadjuvant sequencing...
BACKGROUND: Diffuse gliomas remain among the most surgically challenging tumors, characterized by their infiltrative nature, proximity to eloquent bra...
BACKGROUND: Doxorubicin (DOX)-based chemotherapy has improved survival outcomes in breast cancer patients but is often limited by doxorubicin-induced ...
BACKGROUND: The optimal treatment strategy for older patients with low-risk stage II or T3N0M0 nasopharyngeal carcinoma (NPC) remains undefined. This ...
BACKGROUND: The successful design and implementation of artificial intelligence (AI)-driven solutions in health care requires early and continuous mul...
Neoadjuvant therapy (NAT) is an important treatment strategy in surgical oncology, but not all patients benefit equally from it. This systematic revie...
BACKGROUND: The ability to predict pathological complete response (pCR) prior to neoadjuvant therapy (NAT) would inform and facilitate tailored therap...
BACKGROUND: Postoperative nausea and vomiting (PONV) remains a prevalent complication hindering Enhanced Recovery After Surgery (ERAS) protocols, part...
BACKGROUND: Pathologic complete response (pCR) after neoadjuvant chemotherapy and dual HER2 blockade is associated with improved outcomes in HER2-posi...
Chemotherapy-induced cardiotoxicity (CIC) remains a major cause of morbidity and mortality among cancer survivors, and conventional monitoring often f...
RATIONALE AND OBJECTIVES: To evaluate the diagnostic performance of a longitudinal ultrasound (US)-based stack-model for early prediction of pathologi...
Pancreatic ductal adenocarcinoma (PDAC) remains one of the most lethal cancers, with survival rates influenced by a variety of factors, including earl...
BACKGROUND/AIM: The increasing use of oral anticancer agents in outpatient settings has led to a growing need for unplanned acute care (UAC) due to tr...
BACKGROUND: Radiomics-based modeling has shown promise for characterizing tumor heterogeneity, but its integration with causal machine learning for tr...
BACKGROUND: Sleep disorders and anxiety-depression symptoms can significantly impair the quality of life and treatment adherence among breast cancer p...
PURPOSE: Preoperative assessment of lymph node dissection (LND) difficulty in gastric cancer remains challenging. Conventional clinical indicators are...
The identification of small molecule modulators of immune checkpoint proteins remains a significant challenge in drug discovery due to the flat, featu...