Artificial intelligence is rapidly changing the way healthcare works, detecting diseases earlier and helping doctors make critical decisions. Decoding a Cure was made to help educate about these changes so people are better equipped for the future, but also to bring light to the inequalities in healthcare and how artificial intelligence may either diminish or exacerbate them.
Decoding a Cure is an educational platform exploring how AI is transforming medicine: making diagnosis faster, treatment more precise, and care more accessible — while honestly questioning the ethics, bias, and trust that come along with it.
We converse with researchers and clinicians to better understand how AI is being implemented real-time in the medical field, from specific specialties like radiology to applications in drug discovery or clinical decision support.
We explain how AI models work and are built, hoping to increase AI transparency so people are better equipped to use such tools.
Our lesson plans for elementary and middle school educators cover real applications of AI in human biology & medicine in simple terms in order to actively promote early curiosity.
We break down and focus on tools actually being deployed, in areas such as diagnostics, surgical planning, treatment optimization, and patient care.
Through discussions surrounding the limitations of AI, including privacy concerns & training bias, we encourage people to remain wary when utilizing AI tools due to potential risks.
We share an overview of our latest episode, a paragraph about what we learned, and content updates. Unsubscribing only takes a click.