Explores the complexity of cancer, challenges in research translation, and the applications of tissue engineering for cancer models and drug screening.
Explores the complexity and fundamental capabilities of cancer, focusing on hallmarks like sustained proliferative signaling and evading growth suppressors.
Covers sustaining proliferation in cancer cells, growth factors, receptor tyrosine kinases, signal transduction, viral oncogenes, and therapeutic opportunities.
Covers the decline of cancer death rates, conventional and targeted anticancer drugs, surgical oncology, radiotherapy, chemotherapy, resistance mechanisms, and the history of targeted drugs and EGFR targeting.
Explores the definition, frequency, classification, and types of cancer, including carcinomas, sarcomas, hematopoietic malignancies, and neuroectodermal tumors.
Explores evaluation protocols in machine learning, including recall, precision, accuracy, and specificity, with real-world examples like COVID-19 testing.
Explores the genetic mechanisms of retinoblastoma and their clinical implications, shedding light on tumor suppression, DNA repair, and genetic recombination.
