Precision Medicine

Ovarian cancer treatment is becoming more personalized and stage-specific, guided by tumor genetics. In early stages (I–II), minimally invasive and robotic surgeries reduce recovery time and pain. Fertility-sparing surgery allows some younger patients to preserve reproductive potential. Genomic profiling is also helping determine which patients truly need chemotherapy, avoiding unnecessary side effects. In advanced stages […]

Leukemia treatment is advancing rapidly with targeted therapies and immunotherapies that offer more precise and less toxic alternatives to traditional chemotherapy. A breakthrough in 2025 is the development of menin inhibitors, which block the interaction between menin and KMT2A proteins critical for leukemia cell survival. Revumenib, approved by the FDA, has shown high remission rates

Colorectal cancer (CRC) treatment is rapidly evolving from traditional chemotherapy to personalized, molecularly guided therapies. Precision medicine allows clinicians to analyze tumor genetics and target mutations in genes like RAS, BRAF, and HER2, providing new options for previously hard-to-treat subtypes. Immunotherapy has been particularly impactful for the 5–15% of CRC tumors that are microsatellite instability-high

Lung adenocarcinoma treatment is increasingly guided by precision medicine, combining advanced diagnostics, targeted therapies, immunotherapy, and surgical innovations to improve patient outcomes. Robotic bronchoscopy platforms like MONARCH™ allow minimally invasive access to small lung nodules, accelerating diagnosis. Comprehensive molecular profiling using next-generation sequencing identifies mutations in EGFR, ALK, ROS1, and KRAS, while liquid biopsies detecting

Researchers at UC San Diego have developed DeepHRD, an AI tool that identifies homologous recombination deficiency in tumors from standard biopsy slides, achieving three times the accuracy of traditional genomic tests while avoiding their high failure rates. Retrospective studies show that precision medicine guided by such tools improves survival in breast, lung, and pancreatic cancers

Artificial intelligence (AI) is revolutionizing precision oncology by analyzing large datasets to guide personalized cancer care. It improves diagnosis, treatment selection, drug development, and risk assessment, leading to better patient outcomes. In diagnostics, AI rapidly interprets medical images and digital pathology slides, detecting subtle patterns and classifying cancer subtypes with high accuracy. It also predicts

Gene therapy has become a promising cancer treatment by using the body’s genetic machinery to fight tumors, marking a major advance in personalized medicine. Initially, gene therapy in the late 20th century focused on delivering therapeutic genes via viral vectors, replacing defective tumor-suppressor genes like p53 or introducing “suicide genes” to make cancer cells drug-sensitive.