Citizen Scientists in Healthcare | The Bridge to Precision Medicine

Democratisation Accelerates Discovery

True patient-centricity remains an aspiration. We agree that patients still get a raw deal. And we know that despite some effort, the disconnect between how health systems and Pharma view ‘centricity’ versus those living with chronic health remains wide. Patient advocacy groups are under-utilised. Telehealth is being pushed as a catch-all model, and in the wrong context.

Patients have always been ahead of the curve. Many know the value of their data and are comfortable sharing, in what they feel is the right context. Savvy health tech companies – such as HealthUnlocked (Corrona), PatientsLikeMe, and PatientsKnowBest – have successfully harnessed the power of the direct collaboration model, also proving that patients are open to consenting access to Pharma and HCPs to secure anonymised data, for a fee.

Citizen science goes way beyond this.

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(Digital) Psychedelics at the Intersection of Neurotech & AI

Our escalating global mental health crisis needs a compelling response. No longer on the fringes, psychedelic drugs (aka hallucinogens) as a legalised assisted treatment may offer a breakthrough. Governments, HCPs, Biotechs, and VCs think so. AI is driving discovery and new integrated models of care. Digital is following.

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Ethics and AI

With the value of real-time data access so evident during this pandemic, the conversation on AI has become amplified X-fold across healthcare systems, Research, and Pharma (‘Healthcare’). Great news for many among you. But you can make an even deeper contribution by committing to the drive for ethics.

Ethics relates to how, in the absence of any framework, all stakeholders can work to set clear parameters on the safe adoption and integration of AI – to build towards consistency across real-world settings (clinical and in the community), discovery research, and smart city design.

No-one is suggesting that tech solutions have been sold on hype. But since regulators are deemed to not yet have all of the appropriate skills to evaluate good AI, Healthcare is taking ownership, to scrutinise validity and tech impact across the AI life cycle.

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