Evaluating Generalizability of Oncology Trial Results to Real-World Patients Using Machine Learning-Based Trial Emulations

Evaluation of the Generalizability of Oncology Trial Results Using Machine Learning-Based Trial Emulations Academic Background Randomized Controlled Trials (RCTs) are the gold standard for evaluating the efficacy of anti-cancer drugs, but their results often cannot be directly generalized to real-world oncology patients. RCTs typically employ stric...

Tumor Size Is Not Everything: Advancing Radiomics as a Precision Medicine Biomarker in Oncology Drug Development and Clinical Care

In contemporary clinical oncology practice and drug development, the methods for evaluating tumor response are on the cusp of a revolution. Since the World Health Organization (WHO) proposed tumor response classification criteria for assessing the effectiveness of anti-cancer drugs in 1981, this field has undergone several improvements. Notably, th...

Identification of Clonal Hematopoiesis Driver Mutations Through In Silico Saturation Mutagenesis

Introduction In the process of healthy hematopoiesis, a group of hematopoietic stem cells (HSC) contribute to all blood-related lineages. However, as we age, this process often leads to clonal hematopoiesis (CH), meaning the expansion of clones originating from a particular HSC, which then occupies a significant portion of blood cells and platelets...

Laser Interstitial Thermal Therapy in Neurosurgery: A Single-Surgeon Experience of 313 Patients

Laser Interstitial Thermal Therapy in Neurosurgery: A Single-Surgeon Experience of 313 Patients

Clinical Study Report on Laser Interstitial Thermal Therapy (LITT) in Neurosurgery Background Introduction With the continuous progress of modern medical technology, Laser Interstitial Thermal Therapy (LITT) has gradually gained a foothold in the field of neurosurgical tumor treatment, especially in treating intracranial lesions that are difficult ...