Latest AI and machine learning research in chemotherapy for healthcare professionals.
<b><br>Introduction:</b> Neoadjuvant chemotherapy (NAC) is a part of the current s...
PURPOSE: Quantifying treatment response to gastroesophageal junction (GEJ) adenocarcinomas is crucia...
We trained and validated a deep learning model that can predict the treatment response to neoadjuvan...
Background Deep learning (DL) models can potentially improve prognostication of rectal cancer but ha...
Leiomyosarcoma of urinary bladder (LMS-UB) is a highly malignant mesenchymal tumor, accounting for l...
The main therapeutic options for colorectal cancer are surgical resection and adjuvant chemotherapy ...
A 78-year-old male visited the referring hospital because of asymptomatic gross hematuria. The patie...
Large-scale multiple perturbation experiments have the potential to reveal a more detailed understan...
We report a case of 72s male with locally advanced sigmoid colon cancer. Colonoscopy revealed an adv...
Many cancer patients die due to their treatment failing because of their disease's resistance to che...
A 73-year-old woman was admitted with a chief complaint of weight loss. Colonoscopy revealed rectal ...
The patient was referred to our hospital because of bloody stool and anorectal pain, and a colonosco...
Breast cancer patients often have recurrence and metastasis after surgery. Predicting the risk of re...
MOTIVATION: Predicting pathological complete response (pCR) to neoadjuvant chemotherapy (NAC) in tri...
As the coronavirus disease 2019 (COVID-19) global pandemic continues, there is increased value in p...
Differentiation of cell organelle characteristics from microscopic images is a challenging task due ...
The objective of our work was to develop deep learning methods for extracting and normalizing patien...
Cancer therapeutics cause various treatment-related changes that may impact patient follow-up and di...
BACKGROUND: Immunoneoadjuvant therapy opens a new prospect for local advanced lung cancer. The aim o...
Objective To develop a risk prediction model combining pre/intraoperative risk factors and intraoper...
The synthesis of hybrid platinum materials is fundamental to enable alkaline water electrolysis for ...