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Published on: Nov 28, 2021
2 minute read
By: Second Medic Expert

A Variant Of Concern: Omicron

A variant of Concern: Omicron

The World Health Organization has designated the strain, now named Omicron, as a variant of concern and said multiple studies are underway to monitor its development.

The Unknowns - Scientists are warning that the variant could be more contagious, but they don't really know for sure. They also worry about its effects on vaccine efficacy and severity of disease - we'll just have to wait until there's more research!
Where it has been identified - The variant has so far been identified in South Africa, Botswana, Hong Kong, and Belgium. A specimen from the first known case of the variant in South Africa was collected November 9, the WHO said Friday.
The number of variant cases - Now, the number of variant cases seems to be increasing in nearly every province of the country, the WHO said. South Africa has currently fully vaccinated less than 36% of its adult population and its rate of new vaccinations had fallen in recent days, according to the country's health department.
Cases Identified - South African officials also initially said there was one confirmed case in a traveler from South Africa to Hong Kong. Friday, Hong Kong health authorities identified a second case of the variant among returning travelers on the same floor of a designated quarantine hotel. Health authorities ordered at least 12 people in nearby rooms to undergo mandatory Covid-19 testing and two weeks of quarantine in a government center. Also on Friday, the Belgian government said an individual who had recently traveled from Egypt and was unvaccinated, tested positive for the variant, marking the first case in Europe.
High number of Mutations: South African genomic scientists said earlier this week the variant has an unusually high number of mutations, with more than 30 in the key spike protein -- the structure the virus uses to get into the cells they attack.
The concern: Scientists are concerned those mutations could make the variant more transmissible and could result in immune evasion. Scientists are working to find out whether the variant could evade immunity, saying its mutations can help hint or predict whether it will be the case.
Vaccine Efficacy: The million-dollar question is, is there a tiny hit to vaccine efficacy, or is there a large hit? we'll get some preliminary data probably in the next few days.
How it compares with other variants - While mutations -- and new variants -- of the virus are expected as it continues to spread, experts say there's more reason for concern with Omicron. As per the scientists they have seen a lot of variants pop up over the last five, six months, and most of them have not amounted to much but this looks different. It's acting differently, it looks like it's much more contagious than even the Delta variant." WHO officials also said in their statement Friday preliminary evidence suggests Omicron also poses a higher risk of reinfection, compared to other variants of concern.

What vaccine makers are saying

In a Friday news release, Moderna said it was rapidly working to test the ability of its vaccine to neutralize the variant, and data is expected in the coming weeks.

The strain includes mutations "seen in the Delta variant that are believed to increase transmissibility and mutations seen in the Beta and Delta variants that are believed to promote immune escape," Moderna said. "The combination of mutations represents a significant potential risk to accelerate the waning of natural and vaccine-induced immunity."

The Solution: If its current vaccine and booster are insufficient against the variant, one possible solution is boosting people with a larger dose, which Moderna said it is testing. The company is also evaluating two multivalent booster candidates to see if they provide better protection against Omicron -- both of which include some of the viral mutations present in the variant. Moderna said it is also testing an Omicron-specific booster. AstraZeneca also said it was looking to understand the impact Omicron has on its vaccine, which is not currently authorized for use in the US. A Johnson & Johnson spokesperson told CNN in a statement the company was also testing the effectiveness of its vaccine against Omicron.

Why Travel Restrictions?

Travel restrictions will buy governments some time to investigate the variant, but it's inevitable the strain will eventually appear and spread.

Source : who,cnn

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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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