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As 2025 draws to a close, one story rises above the noise, reshaping both India’s health and business landscape.
Microsoft’s bold investment in Artificial Intelligence (AI) isn’t just fueling economic growth; it’s rewriting what care can feel like.
From faster diagnoses to district clinics suddenly empowered with specialist knowledge. AI is transforming possibilities into practice, making healthcare more human.
This blog is for patients, caretakers, and clinicians who, like me, live the reality behind the headlines. I’m not here to recycle press releases. I’m here to share what’s different, what’s useful, and what I’m actually doing day to day. Because health tech isn’t an abstract trend, it’s changing my life as a patient, and that joy is something I want to share with my fellow patients.
Why This Matters to Patients, Caretakers, and Clinicians
Rare no longer means invisible.
When health data is scattered, families are forced into long, exhausting diagnostic odysseys. But when information is connected and patterns begin to surface, care transforms. It becomes faster, more personal, and more humane.
That shift touches everyone:
For Patients:
It will gain relief from endless tests and receive clearer explanations. They are expected to experience dignity in every interaction.
For Caretakers:
They would finally have practical tools to coordinate, communicate, and lighten the daily burden of care.
For Clinicians:
They get decision support. It would save precious time and sharpens accuracy, allowing them to focus on what matters most, human connection.
This isn’t theory. It’s the real work of turning scattered clues into actionable care. It’s already happening now.
My Practical Experience: How AI Is Changing My Daily Life
Living with rare and chronic health conditions once felt like wandering through a maze without a map. Now, AI has become my compass. It is turning confusion into clarity and small daily struggles into manageable wins.
Here’s how it’s reshaping my routine in very tangible ways:
1) Symptom Tracking Made Simple:
- AI-powered apps help me log symptoms in real time.
- Instead of scattered notes, I now have structured data that shows patterns across days and weeks.
- Example: I can see how fatigue links to diet or stress, which helps me plan better.
2) Medication Reminders:
- AI assistants send nudges at the right times.
- Even on hectic days, I don’t miss doses.
- For patients managing multiple prescriptions, this is a lifesaver.
3) Energy Optimization:
- By analyzing my activity and rest cycles, AI suggests when to take breaks.
- This helps me avoid flare-ups and balance productivity with rest.
4) Less repetition at Clinics:
- AI compiles concise summaries of my health history.
- I no longer repeat the same story at every visit.
- Doctors get a clear snapshot, saving time and frustration.
5) Benchmarking Treatments:
- AI compares therapies, supplements, and lifestyle interventions.
- I make evidence-based choices without guesswork.
- Example: I can see which diet changes actually improve my IBS symptoms.
6) Decision Support:
- When I face multiple options, AI lays out pros and cons clearly.
- This makes consultations more confident and collaborative.
7) Guided Practices:
- AI curates meditation and hypnosis scripts tailored to my condition and energy levels.
- These small practices reduce stress and improve sleep.
8) Small Wins, Big Happiness:
- Clearer next steps, and the sense that my data actually helps someone else, also is extremely motivating.
Why I’m More Hopeful
For years, living with rare and chronic conditions felt like carrying a backpack full of scattered puzzle pieces. Each symptom, each test, each treatment added weight but never forming a clear picture.
Hope now comes from multiple directions. AI brings clarity to my daily care, while CRISPR points toward precision treatments. It could reshape the future of rare disease medicine.
AI has started to lighten that load, and for the first time, I feel genuine hope:
1) Clarity Instead of Chaos:
What once felt like fragments now comes together as actionable insights. My health story finally has a shape.
2) Consistency Without Burnout:
Automated reminders mean I don’t have to rely on memory alone. That frees space in my mind for creativity, advocacy, and simply living.
3) Empowerment Through Knowledge:
I walk into consultations prepared, with data that makes me less dependent on fragmented advice. I can feel the change, I’m part of the conversation, not just a case file.
4) Visible Progress:
Even small improvements show up in the data. Those little wins keep me motivated, reminding me that progress is possible.
The conditions I track includes Isaacs’ Syndrome, Lyme disease, and Glaucoma. Also, Membranous Glomerulonephritis, IBS, and Diabetes. Each add their own complexity. But AI helps me weave them into one coherent story, a story clinicians can act on. And that coherence, that sense of being seen and understood, is what makes me more hopeful than ever.
Safeguards That Keep AI Trustworthy
As someone living with rare conditions, I don’t just want change, I need it. But for AI to truly help patients, trust has to be built into every step.
Here’s what matters most from my perspective:
1) Don’t Forget Rare Patients:
Too often, systems are trained only on common cases. My story and the stories of others with rare diseases must be included, or we risk being invisible again.
2) Keep Humans Involved:
AI can guide, but doctors and caregivers must always check its suggestions before they shape care. Human judgment is irreplaceable.
3) Listen to Patients:
My daily experience should help refine these tools, so they improve with real patient voices.
4) Transparency:
I want AI tools to clearly state whether they’ve been trained on rare disease data. That honesty builds trust.
5) Respect Limits:
If data is missing, the system should admit it instead of offering generic advice. Pretending to know is worse than saying “we don’t have enough information.”
For me, these safeguards aren’t abstract, they’re the difference between AI being another headline or becoming a lifeline.
The Ordinarily Rare Perspective
At Ordinarily Rare, we believe technology should reveal the human story and not replace it. For me, AI is like a new lens: it makes the invisible visible. But visibility alone isn’t enough. It must lead to care, not just more data points.
For patients like us, that means:
1) Turning Logs into Action:
Symptom trackers shouldn’t just collect entries. They should help me and my doctors see patterns and act on them.
2) Making Research Usable:
Complex studies are often locked behind jargon. AI must translate them into plain language so patients can actually use the insights in daily life.
3) Respecting Privacy:
My health data is deeply personal. Safeguards must give me control over what’s shared, and with whom.
Our work at Ordinarily Rare is about advocacy and dignity.
Practical Tips for Patients and Caretakers
Here are simple ways I’ve found to make AI tools part of daily life:
1) Start Small: Begin with one app for symptom tracking before adding more tools.
2) Set Reminders: Let AI handle medication alerts so timing doesn’t become a source of stress.
3) Share Data Wisely: Show summaries to your doctor but keep control of what stays private.
4) Ask Questions: If AI suggests something, discuss it with your clinician before acting.
5) Celebrate Progress: Even small improvements matter, track them to stay motivated.
Conclusion: Small Data, Big Hope
Microsoft’s investment in India’s AI infrastructure is not just a business milestone; it’s a human opportunity.
India’s big investments in AI are part of a larger innovation story, where breakthroughs like CRISPR show that technology is driving growth while also opening the way to more personalized care.
I am hope that for people like me, it can shorten my diagnostic journey. It can bring specialist knowledge to district clinics and create personalized care pathways.
I’m sharing this because I’m genuinely happy about the practical changes I’m seeing in my own care.
If you work in health or tech, consider how your next move can help bridge capital and care. And if you live with a rare condition, know this: the tools being built today can make a difference tomorrow.
Small data, shared well, becomes big hope. Let’s make sure its benefits reach the rarest among us.
DISCLAIMER
The views expressed in this article are the author’s own and do not represent any kind of medical advice.