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Viktor simunovic

Aug 11, 2025, 12:21

Viktor Simunovic: 5 Ways AI will Shape Personalized Medicine

Viktor Simunovic, Co-Owner of Sicknote.com, shared a post on LinkedIn:

“5 Ways AI will shape Personalized Medicine

Personalized medicine has been the dream – to treat each patient as an individual not an average. Today, AI is making this a reality. Here’s how I see AI changing personalized care in the next few years:

1. Precision Diagnostics
AI is reading images, genomics and pathology slides with incredible accuracy. It’s helping us spot disease markers invisible to the human eye and enabling earlier, more targeted interventions.

2. Treatment Recommendations
Beyond guidelines, AI can analyze a patient’s entire profile – labs, history, genetics – to suggest treatments most likely to work for that patient. No more one-size-fits-all all. We’re entering an era of truly bespoke treatment pathways.

3. Drug Discovery Acceleration
Traditional drug development is slow and expensive. AI models are predicting molecular interactions and simulating clinical trials virtually. This could shave years off timelines and deliver targeted drugs faster for rare and complex conditions.

4. Continuous Patient Monitoring
Wearables and remote sensors generate massive amounts of data. AI sifts through the noise to detect subtle changes in health status and help clinicians intervene early and personalize care plans in real time.

5. Predictive Risk Modeling
AI can calculate an individual’s risk for diseases like cancer or heart failure based on complex patterns in data. This enables proactive, preventive care and a shift from reactive medicine to personalized health maintenance.

These will change our practice – and our patients’ lives. As clinicians, we need to partner with AI, not fear it. The goal remains human: deliver the right care to the right person at the right time.

Curious to hear your thoughts, colleagues: Which of these trends excites – or concerns – you most?”

Viktor Simunovic