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Published on: Apr 06, 2020
2 minute read
By: Dr Rajan Choudhary

MicroRNA That Makes Them Fight COVID Better ?

Recently you may have read a New Delhi based International Center for Genetic Engineering and Biotechnology (ICGEB) sequenced the genome (genetic data) of SARS-COV-2 (coronavirus) from India, Italy, US, Nepal and Wuhan, China. They found that the Indian variant of SARS-CoV2 has the potential to be targeted by antiviral RNA within host cells, a feature that is unique to the Indian strain.

This amazing finding has been published on blogs, newspapers and other media as proof that Indians may not suffer as much as the rest of the world when the COVID-19 pandemic hits the country. One headline touted “MicroRNA in Indians may reduce severity of corona attack”, stating “Indians have comparatively better immunity compared to other countries”. Of course this article is being forwarded on WhatsApp, and enough people may take it as gospel. Is it true?

No.

If you want to know why, just look on the Journal’s website:

“these are preliminary reports that have not been peer-reviewed. They should NOT be regarded as conclusive, guide clinical practice/health-related behaviour, or be reported in news media as established information.”

Research is not easy. I could write a very long explanation for why, but I have summarised it below.

SUMMARY:

- To prove x causes y up to a high scientific standard is incredibly difficult

- Even if you think x causes y, someone might find a flaw in your study

- Numbers can be manipulated by statistics to show what you want to believe

- Reporters might not understand the study and mis-report it

- We all want to believe there is a magic cure that will protect us, that makes us special, immune to this disaster so we can get on with our lives. Unfortunately there simply isn’t one. And believing in them without fact checking can cause more harm than good.

IMMUNITY AGAINST COVID

So what about this study? Firstly it is looking at one tiny mechanism in a cell, when a cell can have millions of proteins responsible for a billion different functions in just the cell itself. Secondly it is not peer reviewed. This means no one has fact checked the study to check whether the design is valid, whether the statistics hold up, whether they have missed something or are making incorrect conclusions based off their data. Peer-reviewing a recent paper showing SARS-CoV-2 and HIV were extremely similar disproved this paper as false.

In the authors defence he acknowledges this:

“In our study, which is a purely computational one, we predicted that this microRNA binds to the SARS-Cov2 genome submitted from India. However, it is too early to comment on it because there is only one high coverage sequence from India, so far,”

Thirdly, the news article says that Indians have better immunity because of this “microRNA”. This is wrong. The study sequenced the genome of the virus, not of the Indian population. Antiviral microRNA is found in all people. The study simply suggests that this might be more effective at targeting the Indian strain of COVID, but it does not make any concrete claims that Indians are protected from COVID.

Again, the journal even states this:

“These are preliminary reports that have not been peer-reviewed. They should not be regarded as conclusive, guide clinical practice/health-related behavior, or be reported in news media as established information.”

But most importantly, even if the paper suggests that the Indian strain may be less potent, it does not give us an excuse to be reckless. We have to adhere to social distancing, hygiene, lockdown principles in order to prevent infection. Because what happens if you take the article stating “Indians have comparatively better immunity compared to other countries” as fact, use this as an excuse to go about your regular daily lives, and it actually turns out that the microRNA has little to no effect on COVID. This endangers yourself and those around you.

Be sensible. Listen to public health officials.

Dr Rajan Choudhary, UK, Chief Product Officer, Second Medic Inc

www.secondmedic.com

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How Artificial Intelligence Is Transforming Patient Care in India

As a clinician working closely with patients across urban clinics and remote teleconsultation setups, I have seen firsthand how delayed diagnosis, fragmented follow-up, and specialist shortages affect outcomes in India. Artificial intelligence is not a futuristic concept in Indian healthcare anymore. It is actively reshaping how we diagnose diseases, monitor patients, and prevent complications.

AI, when used responsibly under clinical supervision, is becoming a critical support system for doctors and a powerful safety net for patients navigating a complex healthcare ecosystem.

Why India’s Healthcare System Needs AI

India’s healthcare challenges are deeply structural. A large population burdened by lifestyle diseases, combined with uneven access to medical expertise, creates gaps that traditional systems struggle to bridge.

In daily practice, we increasingly see patients presenting late with diabetes, hypertension, heart disease, or cancer. Many ask a simple but important question: why was this not detected earlier? The answer often lies in limited screening, overloaded clinicians, and lack of continuous monitoring.

Chronic conditions dominating Indian clinics today include:

Diabetes affecting over 100 million individuals.
Hypertension rising even among young adults.
Cardiovascular disease driven by late detection.
Increasing cancer incidence with delayed diagnosis.

AI matters here because it supports earlier identification of risk patterns, reduces diagnostic delays, and allows clinicians to focus on decision-making rather than data overload.

How AI Is Changing Medical Diagnosis

One common concern patients raise during consultations is whether AI can truly diagnose diseases accurately. In practice, AI does not replace a doctor. It acts as a high-speed analytical assistant.

AI in Imaging and Diagnostics

AI systems can rapidly analyse:

X-rays and CT scans.
MRI images.
Mammograms.
Pathology slides.
Cardiac and neurological imaging.

These tools flag abnormalities within seconds, allowing doctors to prioritise critical findings. Clinical studies published in peer-reviewed journals have shown that AI models can match specialist-level accuracy for specific imaging tasks when used correctly.

From a physician’s perspective, the real benefit is not speed alone. It is consistency. AI reduces the risk of missed findings during high-volume diagnostic workflows, especially in resource-constrained settings.

Can AI Monitor Patients Outside Hospitals

Patients managing chronic illness often ask whether technology can help them avoid repeated hospital visits. AI-enabled remote monitoring is one of the most meaningful advances in this area.

AI-Supported Remote Patient Monitoring

AI continuously evaluates trends in:

Blood pressure.
Heart rate variability.
Blood glucose patterns.
Oxygen saturation.
Physical activity and sleep quality.

Rather than reacting to a single abnormal value, AI identifies worsening trends over time. Clinically, this allows early intervention before complications escalate.

Evidence from global health system studies shows that continuous monitoring can significantly reduce avoidable hospital admissions, particularly for diabetes, heart disease, and elderly patients.

Using AI to Predict and Prevent Chronic Diseases

Preventive healthcare remains underdeveloped in India. Most patients seek care after symptoms appear. AI helps shift this model.

By analysing medical history, lifestyle habits, vitals, and environmental factors, predictive models can estimate:

Future heart attack risk.
Progression of diabetes.
Decline in kidney function.
Stroke probability.
Asthma exacerbation triggers.

Patients often ask if AI can really prevent disease. Prevention here means early warnings. When risk patterns are detected early, doctors can adjust treatment plans, recommend lifestyle changes, and prevent irreversible damage.

Personalised Treatment in a Diverse Indian Population

Indian patients differ widely in genetics, diet, stress patterns, and cultural habits. Standardised treatment protocols often fall short.

AI supports personalised care by analysing:

Medication responses.
Dietary intake.
Blood markers.
Sleep and stress trends.
Coexisting medical conditions.

For example:

In diabetes care, AI helps personalise carbohydrate distribution and medication timing.
In hypertension, it identifies sodium sensitivity and stress-related spikes.
In hormonal conditions like PCOS, it aligns nutrition and activity with cycle patterns.

From a clinical standpoint, personalised insights improve adherence and reduce relapse rates.

AI-Enabled Telemedicine and Smarter Consultations

Telemedicine has become an essential part of care delivery in India. Patients frequently ask whether online consultations are as effective as in-person visits.

AI enhances telemedicine by:

Structuring symptom inputs before consultations.
Routing patients to the appropriate specialist.
Generating concise medical summaries for doctors.
Supporting follow-up reminders and medication adherence checks.

When used correctly, AI reduces diagnostic delays and improves consultation efficiency without compromising safety.

Expanding Healthcare Access Beyond Cities

A major question in public health is whether AI can truly improve rural healthcare access. In practice, it already is.

AI enables:

Remote diagnostics supported by portable devices.
Virtual specialist consultations for rural clinics.
Smartphone-based imaging and screening tools.
AI-guided triage in underserved regions.

By reducing dependence on physical proximity to specialists, AI helps bridge longstanding geographical barriers in India’s healthcare system.

Safety, Ethics, and the Role of Doctors in AI Care

Patients rightly express concern about safety, privacy, and over-reliance on technology. These concerns are valid.

Responsible AI use in healthcare requires:

Transparent algorithms.
Explicit patient consent.
High-quality, verified medical datasets.
Strict data privacy safeguards.
Continuous clinical supervision.

In ethical practice, AI outputs never replace medical judgment. Doctors remain accountable for decisions. Human-in-the-loop verification is essential to ensure patient safety and trust.

What This Transformation Means for Indian Patients

Artificial intelligence is fundamentally changing patient care in India by making healthcare more proactive, more precise, and more accessible. From early diagnosis to personalised treatment and continuous monitoring, AI empowers both patients and clinicians with data-backed clarity.

SecondMedic’s patient-first approach integrates AI as a clinical support system, not a replacement for doctors. By combining medical expertise with digital intelligence, the goal remains simple: better outcomes, earlier intervention, and care that adapts to each patient’s real-world needs.

As clinicians, our responsibility is to ensure that technology serves patients ethically and effectively. When used with care and oversight, AI has the potential to redefine healthcare delivery across India in a way that is inclusive, preventive, and sustainable.

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