What is personalized medicine and digital therapy?

Personalized medicine is the idea and practice of tailoring treatment, diagnosis, or preventive interventions to each patient’s genetic, biomarker, behavioral, and lifestyle characteristics. For example, artificial intelligence (AI) algorithms analyze images, genomes, and clinical data to help select the optimal therapy.

Digital Therapeutics (DTx) is software designed to treat or alleviate diseases, which has undergone clinical trials, has proven effectiveness, and can be prescribed or recommended by a doctor.

For example, apps that help control diabetes, change behavior, or improve mental health are becoming part of treatment alongside traditional methods.

Why is this important?

1. Effectiveness: Patients receive treatment tailored to their specific needs, increasing the chance of success and reducing side effects. For example, a systematic review found that digitalis therapy in patients with diabetes reduced mean HbA₁c levels by ~0.54%.
2. Accessibility and scalability: Digital solutions can operate remotely, reducing barriers to access to treatment.
3. Preventive: Thanks to personalization and digital tools, it is possible to identify risks earlier and intervene faster.
4. Resource Optimization: Clinics and healthcare systems gain tools to better allocate resources and reduce costs.

How it works: key mechanisms

• AI and machine learning analyze large data sets (genomes, images, vital data) and help determine the optimal treatment plan.
• Digital twins are virtual models of a patient that simulate their body, reactions to treatment, and allow testing strategies without risk.
• Digital therapeutic platforms — mobile applications, telemedicine, gadgets that monitor the patient’s condition, provide tips, support self-management, and integrate with medical data.
• Data integration — combining genomics, biomarkers, behavioral data, and a patient’s digital footprint to personalize treatment.
• DTx clinical trials—as an example: 19 RCTs with 3,264 patients showed significant improvement in scores in the digital intervention group.

Challenges and limitations

• Data privacy and security: The use of digital platforms and patient data requires high standards of protection.
• Regulation: DTx must meet medical standards and be integrated into the healthcare system.
• Equity and access: Not all patients have equal access to technology or digital skills.
• Interoperability: Systems must “talk” to each other – genomics, EHR, mobile devices.
• Clinical evidence: Not all digital products have sufficient data; an evidence base is needed for widespread adoption.

Application examples

• For patients with diabetes: A systematic review showed that digital therapies reduced HbA₁c and improved disease control.
• In the field of mental health: digital therapeutic applications, such as online CBT, are already recommended in some countries.
• Using digital twins to personalize therapies — research shows that such models can help predict a patient’s response to treatment.

What does this mean for Ukraine?

• It is necessary to create a regulatory framework and standards for digital medicine and personalized interventions.
• Investments in technological infrastructure: genomic testing, digital platforms, analytics.
• Education of doctors and patients: how to use digital therapies, how to interact with technology.
• Partnership between the healthcare system, technology companies, and the state for large-scale implementation.

Conclusion.

Personalized medicine and digital therapy are not just buzzwords. They are a real transformation that offers a chance to change how we treat, monitor and maintain health. The patient no longer just gets the “average standard”, they get the treatment that is right for them.

Technology allows us to not wait until the disease becomes serious — it allows us to act earlier, more precisely, more effectively. And in this transformation, every direction — genomics, digital platforms, artificial intelligence — becomes part of one big solution: the health of the future today.

Useful links for further reading

• Artificial intelligence in personalized medicine: transforming diagnosis and treatment. Discover Applied Sciences, 2025. 
• Digital twin for personalized medicine development. Frontiers in Digital Health, 2025. 
• Impact of Digital Therapeutics for the Management of Adult Patients With Diabetes. JMIR, 2025. 
• Digital Therapeutics (DTx) Industry Assessment 2025. Research reports. 
• Security is vital: how should new health innovations protect user data. The Guardian, 2025.