Ivan Kairatov is a biopharma and health-tech veteran who has spent years turning clinical logic into usable digital tools. In this conversation, he explains how a new self-triage chatbot grounds every step in established medical flowcharts, why a multi-agent design matters, and where real-world
Missed by the very blood tests meant to reveal them, too many testicular cancers slip through diagnostic nets just when speed matters most for adolescents and young adults facing life-shaping treatment choices. That gap is precisely what a new high-dimensional immune profiling approach set out to
Colorectal cancer remains a top killer, yet traditional screening pathways leave many behind. Clinic-based outreach depends on staffed phone banks, open appointment slots, and patients’ ability to take time off, travel, and navigate insurance rules. In safety-net settings, those frictions stack.
A pediatrician opens a child’s electronic chart and scans years of well-visit notes, immunization stamps, brief school concerns, and sleep complaints, and in the space between those ordinary lines an algorithm quietly surfaces a pattern that suggests the child’s risk for
Spine surgeons at UC San Diego Health just turned a complex, high-stakes operation into a choreographed, data-driven performance that put the West Coast on notice. The institution’s first spine surgery using a fully integrated robotic, AI-enabled platform was more than a successful case; it was a
Ivan Kairatov brings hands‑on R&D experience in neuromuscular drug development and a clear view of how dosing, delivery, and clinic operations intersect in real life. With the MHRA authorizing a higher‑dose nusinersen regimen, he explains how two 50mg loading doses 14 days apart and 28mg
