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Latest insights and thought leadership

How AI Research Agents Are Transforming Life Sciences Intelligence

March 2, 2026

  In the high-stakes arena of drug development and clinical evidence generation, the bottleneck is no longer the availability of data; it is the speed of synthesis. For the past decade, life sciences organizations have invested billions into digitizing real-world data (RWD), scaling bioinformatics pipelines, and implementing Natural Language Processing (NLP) to parse the ever-expanding sea of scientific literature. Yet,

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Webinar Recap: AI Agents and Patient-Level Data – From Confirmation of Diagnosis to Insights

February 6, 2026

AI research agents are no longer theoretical in rare disease and oncology—they’re starting to reshape how teams find patients, understand journeys, and generate evidence. That reality came through clearly in our recent joint webinar with Rare Patient Voice, “AI Agents and Patient-Level Data: From Confirmation of Diagnosis to Insights.”​   Setting the stage: disruption, data, and AI agents Clinakos CEO

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When Good Intentions Meet Bad Data: Why Pharma Patient Research Projects Go Off Track

January 26, 2026

Pharmaceutical companies invest billions to understand patients. Market research teams conduct thousands of surveys and collect patient-reported outcomes with the genuine intent of developing better therapies and launching products that meet real patient needs. Yet despite these investments, six out of ten pharmaceutical drug launches underperform in their first year.1 Further, over half of all drug launches fail to meet

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Clinakos, Rare Disease, Integrated Patient Data, Medically Smart AI, Patient Registry, , Insights, Market Research, RWD, FDA

Why the FDA’s New Plausible Mechanism Pathway Demands a Data Revolution

December 17, 2025

FDA’s proposed Plausible Mechanism Pathway for bespoke therapies implicitly assumes a robust real‑world data (RWD) and real‑world evidence (RWE) ecosystem 1, even though the article only briefly names it in the context of postmarketing commitments. That ecosystem can be leveraged far earlier in development to de‑risk first‑in‑human interventions, enrich tiny trials, and create cumulative evidence across N‑of‑1 programs that would

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Clinakos, Rare Disease, Integrated Patient Data, Medically Smart AI, Patient Registry, Fraud, Insights, Market Research

Fraud in Life Sciences Market Research: A Growing Problem with a Recently Available Solution

November 19, 2025

Fraud in Life Sciences Market Research: A Growing Problem with a Recently Available Solution Market research in life sciences increasingly relies on online surveys to gather insights on patient behaviors, treatment outcomes, and disease burden. However, a pervasive and expanding threat is fraud, where bots or individuals pose as patients with fabricated diagnoses solely to generate income by completing incentivized

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Clinakos, Rare Disease, Integrated Patient Data, Medically Smart AI, Patient Registry

The Three Pillars of High-Impact AI in Rare Diseases & Oncology

October 15, 2025

For rare diseases and oncology, where data is scarce and patients are hard to find, the margin for error is razor-thin. We believe achieving success with AI requires a strategic commitment to three core pillars: The Right Data Foundation with Integrated Patient Data™: Finding quality data in Oncology & Rare Diseases has always been a significant challenge. The depth and

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