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A vision-language foundation model for precision oncology.
Nature
January 2025
Department of Radiation Oncology, Stanford University School of Medicine, Stanford, CA, USA.
Clinical decision-making is driven by multimodal data, including clinical notes and pathological characteristics. Artificial intelligence approaches that can effectively integrate multimodal data hold significant promise in advancing clinical care. However, the scarcity of well-annotated multimodal datasets in clinical settings has hindered the development of useful models.
View Article and Find Full Text PDFIdentification and validation of a metabolic-related gene risk model predicting the prognosis of lung, colon, and breast cancers.
Sci Rep
January 2025
Dr B R Ambedkar Center for Biomedical Research, University of Delhi, Delhi, 110007, India.
Metabolic reprogramming, vital for cancer cells to adapt to the altered microenvironment, remains a topic requiring further investigation for different tumor types. Our study aims to elucidate shared metabolic reprogramming across breast (BRC), colorectal (CRC), and lung (LUC) cancers. Leveraging gene expression data from the Gene Expression Omnibus and various bioinformatics tools like MSigDB, WebGestalt, String, and Cytoscape, we identified key/hub metabolism-related genes (MRGs) and their interactions.
View Article and Find Full Text PDFDevelopment and validation of a risk prediction model related to inflammatory and nutritional indexes for postoperative pulmonary infection after radical colorectal cancer surgery.
BMJ Open
January 2025
Department of Nutrition and Food Hygiene, School of Public Health, Shanxi Medical University, Taiyuan, Shanxi, China
Objective: To develop and validate a risk prediction model related to inflammatory and nutritional indexes for postoperative pulmonary infection (POI) after radical colorectal cancer (CRC) surgery.
Design: Cross-sectional study.
Participants: This study analysed 866 CRC patients after radical surgery at a tertiary hospital in China.
Inequalities in cancer two-week-wait referrals: a cross-sectional study in English general practice.
BJGP Open
January 2025
School of Life Course and Population Sciences, Faculty of Life Sciences and Medicine, King's College London, London, United Kingdom.
Background: Practices with higher two-week-wait (2WW) referral-rates demonstrate higher survival for several cancers. Yet, there is little up-to-date evidence exploring factors influencing 2WW-referral-rates and whether health inequalities exist, particularly after COVID-19.
Aim: To establish which patient-factors (eg, age, sex, ethnicity, deprivation) and practice-factors (eg, remote consultations, frequency of seeing a preferred-GP) independently predict 2WW-referral-rates.
Network pharmacological mechanism and molecular experimental validation of artemisinin in the treatment of lung adenocarcinoma.
Toxicol Appl Pharmacol
January 2025
Department of Oncology, Affiliated Hospital of Jiaxing University, The First Hospital of Jiaxing, Jiaxing, Zhejiang, China. Electronic address:
Background: Lung cancer is a medical ailment with high mortality and prevalence rates. Artemisinin (ART) and its derivatives exhibit anti-cancer properties against various malignancies, including lung cancer. However, further research is required to determine the precise anti-cancer mechanisms of ART.
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