True early cancer detection involves finding microscopic tumor DNA in blood samples. This can identify cancer years before it's visible on an MRI, creating an opportunity for a patient's own immune system to potentially eliminate it before it ever becomes a clinical disease.

The negative ANSA-RAD trial, when contrasted with the positive STAMPEDE trial, demonstrates that patient selection is paramount in adjuvant therapy. The difference in outcomes was driven by risk definition, not the drug. This reinforces that "negative" trials are clinically vital for defining which patient populations do not benefit, preventing widespread overtreatment.

The investigator-led PLUTO trial found docetaxel chemotherapy provided a better overall survival benefit than lutetium in first-line mCRPC. This result directly confronts the common clinical bias against chemotherapy ("chemophobia"), proving that older treatments can still outperform newer targeted agents and should not be prematurely abandoned.

Lutetium faces criticism for its fixed 6-cycle regimen, which may be suboptimal as the PSMA target diminishes with ADT. However, this critique is rarely applied to other drugs like PARP inhibitors, which are given until progression. This highlights a double standard and the tension between using a fixed regimen for regulatory approval versus finding the optimal dose in practice.

AI identified circulating tumor DNA (ctDNA) testing as a highly sensitive method for detecting cancer recurrence earlier than scans or symptoms. Despite skepticism from oncologists who deemed it unproven, the speaker plans to use it for proactive monitoring—a strategy he would not have known about otherwise.

The FDA is predicted to approve new PARP inhibitors from trials like AMPLITUDE only for BRCA-mutated patients, restricting use to where data is strongest. This contrasts with the EMA's potential for broader approvals or denials. This highlights the diverging regulatory philosophies that create different drug access landscapes in the US and Europe.

While doctors focused on the immediate, successful treatment, the speaker used AI to research and plan for the low-probability but high-impact event of a cancer relapse. This involved proactively identifying advanced diagnostics (ctDNA) and compiling a list of relevant clinical trials to act on immediately if needed.

Chronic illnesses like cancer, heart disease, and Alzheimer's typically develop over two decades before symptoms appear. This long "runway" is a massive, underutilized opportunity to identify high-risk individuals and intervene, yet medicine typically focuses on treatment only after a disease is established.

Three 2025 trials (AMPLITUDE, PSMA-addition, CAPItello) introduced personalized therapy for metastatic hormone-sensitive prostate cancer. However, significant benefits were confined to narrow subgroups, like BRCA-mutated patients. This suggests future success depends on even more stringent patient selection, not broader application of targeted agents.