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Insights on AI, Cancer Care, and Healthcare Innovation
Most people do not listen with the intent to understand; they listen with the intent to reply. In healthcare, this disconnect between what patients seek and what we hear shapes countless interactions, often leaving both sides frustrated and misunderstood.
Read MoreWe choose to go to the moon in this decade and do the other things, not because they are easy, but because they are hard. Digital health transformation in oncology demands the same audacious commitment that put humans on the moon.
Read MoreSuperior pilots use their superior judgment to avoid situations requiring their superior skills. The same principle applies to oncology—AI can handle the routine so physicians can focus their expertise where it matters most.
Read MoreThe structure was too pretty not to be true. Just as Rosalind Franklin's Photo 51 revealed DNA's double helix, today's AI breakthroughs are unveiling the hidden patterns in cancer care that will transform how we detect and treat disease.
Read MoreInnovation in oncology isn't just about incremental improvements—it's about envisioning entirely new paradigms of care. The most transformative advances come from asking not what is, but what could be.
Read MoreThe oncologist's office is a place defined by data—by lab values, by imaging scans, by the precise, dispassionate language of pathology reports. We speak in numbers and clinical endpoints. But beneath those numbers are human beings held up by their own roots, branches, and leaves.
Read MoreFor millennia, humanity lived under the shadow of invisible assassins. Infectious diseases—plagues, poxes, fevers—shaped civilizations, their periodic eruptions seeming as inevitable as the seasons. Today, we stand at a similar inflection point with cancer.
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