Extended interval tarlatamab dosing shows consistent clinical activity in previously treated SCLC
Prof Folakemi Odedina speaks to ecancer about harnessing AI and data to predict, personalise and transform cancer care.
In this interview, she explores the transformative power of AI and data science in revolutionising cancer care.
She also talks about how Mayo Clinic is pioneering predictive models to detect deadly cancers years in advance, enabling personalised treatments and improved patient outcomes.
Prof Odedina highlights the ethical considerations, data privacy, and the crucial need for diverse representation in AI development for equitable cancer health.
Extended interval tarlatamab dosing shows consistent clinical activity in previously treated SCLC
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