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Advancing Precision Medicine in Hepatocellular Carcinoma: Machine Learning Radiomic Models Surpass Clinical Biomarkers in Predicting Immunotherapy Outcomes
Posted inAI news Oncology Radiology Specialties

Advancing Precision Medicine in Hepatocellular Carcinoma: Machine Learning Radiomic Models Surpass Clinical Biomarkers in Predicting Immunotherapy Outcomes

Posted by By MedXY 09/27/2025
Integrated radiomic-clinical machine learning models outperform traditional clinical biomarkers in predicting survival and treatment response in unresectable hepatocellular carcinoma patients undergoing atezolizumab plus bevacizumab therapy.
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Enhancing Cardiovascular Risk Prediction and Outcomes with Coronary CT Angiography: Insights from the PROMISE and SCOT-HEART Trials
Posted inCardiology news Specialties

Enhancing Cardiovascular Risk Prediction and Outcomes with Coronary CT Angiography: Insights from the PROMISE and SCOT-HEART Trials

Posted by By MedXY 08/16/2025
Coronary CTA, guided by clinical risk models and advanced radiomic plaque analysis, improves prediction and prevention of myocardial infarction in patients with new-onset chest pain, particularly in those with low clinical likelihood of coronary artery disease.
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  • Venetoclax‑Obinutuzumab in First‑Line CLL: Efficacy Preserved in Unfit Patients — but Dose Intensity Matters
  • Long-term Outcomes in Congenital TTP: Registry Data Show Prophylactic Plasma Reduces Clinical Events but Symptoms and Product Burden Persist
  • DAGO2 (daunorubicin/cytarabine + fractionated gemtuzumab) Outperforms CPX‑351 in Older Adults with Non‑Adverse‑Risk AML: NCRI AML18 Results
  • DAGO2 (daunorubicin+cytarabine+fractionated gemtuzumab) outperforms CPX‑351 in older adults with non‑adverse‑risk AML: insights from NCRI AML18
  • Venetoclax plus gilteritinib shows potent preclinical activity in FLT3‑mutant BCL11B‑a lineage‑ambiguous leukemia: translational opportunities and trial design considerations
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