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Published on: Nov 13, 2020
2 minute read
By: Dr Rajan ( Medical Second Opinion Cell)

What Are Some Common Side Effects Of The COVID-19 Vaccine?

COVID Vaccine, the Pfizer update

On Monday Pfizer announced to the world the vaccine, once it has been developing with Germany's BioNTech, was found to be more than 90?fective. If this is substantiated, it may be possible for countries to receive the vaccine before the end of the year.

The Vaccine is an mRNA Vaccine, a novel method that introduces viral RNA into the body via a viral coat. The vaccine is incorporated into the person's cell, where the viral RNA is read and viral proteins are produced, including the coronavirus coat proteins. As the body reads and recognizes these proteins, it produces antibodies against these viral proteins and activates immune T cells against the virus.

The Pfizer results are based of a phase 3 clinical trial with 43, 538 participants with a diverse background. In this trial, the participants were split between those receiving a vaccine, and those who received a placebo with no effect. The vaccine is administered in two parts, with a 90?ficacy obtained 7 days after the second dose. This would mean a person is vaccinated just 28 days after the initial vaccination.

The FDA usually looks for a minimum 50?ficacy in vaccination when approving new vaccines. It may surprise you that the annual flu jab is also estimated to be 50?fective. The data from Pfizer was verified by an external, independent Data Monitoring Committee. It used data from 94 patients enrolled in the trial and subsequently developed COVID. It is from this groupset that 90% of efficacy is obtained. This is not the final data analysis, and further publications are expected in late November, with a potential FDA Emergency Use Authorisation approval if the data continues to show promise.

If approved, Pfizer has the ability to make 50 million shots before the end of the year, and 1.3 billion by the end of 2021. Many countries are clamoring for their fair share of these limited resources; the US has already negotiated 200m shots, UK 50m, and Germany (one of the major financers for the Pfizer vaccine) over 300m for European Countries.

We should emphasize that rapid vaccine development on this scale at this speed was unheard of prior to COVID. Usually, the animal studies for vaccines can take 1-2 years. In that time Pfizer and others have managed phase 1-3 clinical trials in humans, something that usually takes upwards of 10 years.

There are many unanswered questions that remain from this information.

How safe is the vaccine? Whilst safety information was not published, overall the vaccine appears to have minimal side effects. This is particularly difficult to state however since mRNA vaccines have never been used in people before.
Does the vaccine prevent transmission? In theory, yes. If you are immunized the replication of the virus should be limited significantly, so the number of viruses in each cough will be much lower. However, we do not have data to prove that there is no transmission, but that is also because we have very little data overall.
How long does the protection last? This is a very critical question. The 90?fectiveness rate was calculated just 7 days after the second shot, but it is likely this will change as data is collected over the long term. Some studies have suggested the antibody response fades within months following COVID infection. T Cell immunity on the other hand can stay for years, and it may be the effectiveness of creating a T cell immunity that dictates just how good this vaccine will be .

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AI-Based Disease Detection India: How SecondMedic Is Transforming Early Diagnosis

India’s healthcare landscape is evolving rapidly, with artificial intelligence emerging as one of the most powerful tools for early disease detection. AI-based disease detection India represents a major shift from reactive healthcare to predictive, preventive, and precise medical analysis. Instead of waiting for symptoms to appear, AI enables clinicians and patients to identify risks early through advanced data interpretation.

Rising chronic diseases, increased diagnostic loads, and limited specialist availability make AI essential for early diagnosis in India. The use of AI in medical imaging, risk scoring, and pattern recognition significantly enhances accuracy while reducing time-consuming manual processes. SecondMedic integrates AI-powered diagnostic tools to help individuals detect health conditions in their earliest stages, enabling timely intervention and improved long-term outcomes.

Why India Needs AI-Based Disease Detection

India faces one of the world’s highest burdens of chronic and lifestyle diseases. Many conditions remain undiagnosed until they reach advanced stages, often due to late screenings, limited access to specialists, or lack of early symptoms.

The need for AI-based detection is driven by:

High incidence of silent diseases like diabetes and hypertension
Overloaded healthcare systems
Limited availability of expert radiologists
Rising lifestyle risk factors
Increasing demand for precision diagnostics
Need for faster, more accurate analysis

AI bridges these gaps by providing early alerts, consistent accuracy, and fast interpretations.

How AI Detects Diseases Early

AI-based disease detection uses machine learning models trained on thousands of medical datasets. These models learn to recognize abnormal patterns and subtle changes that the human eye might overlook.

AI analyzes:

Blood test patterns
Vital signs and wearable data
Imaging scans (X-rays, MRIs, CT scans)
Medical history
Genetic predispositions
Lifestyle habits

Through advanced algorithms, AI can identify risks long before symptoms appear, giving patients critical time for prevention and treatment.

AI in Medical Imaging: A Major Breakthrough for India

Medical imaging AI has transformed diagnosis speed and accuracy. In India, where access to radiologists is uneven, AI helps bridge diagnostic gaps.

AI-assisted imaging helps detect:

Lung infections and tuberculosis
Early-stage cancer indicators
Cardiac abnormalities
Brain tumors and neurological issues
Bone fractures and musculoskeletal conditions
Liver and kidney anomalies

SecondMedic uses AI-supported imaging interpretation to enhance precision and reduce reporting delays.

AI for Chronic Disease Prediction

Chronic illnesses often develop silently. By analyzing long-term trends, AI can predict disease progression and alert patients earlier.

AI helps forecast:

Prediabetes to diabetes progression
Heart attack risk
Hypertension development
Chronic kidney disease
Thyroid dysfunction
Metabolic health decline

These predictions allow individuals to take preventive action far in advance.

Personalized Disease Detection with AI

AI enables personalized diagnostics by incorporating each user’s biological and lifestyle data into prediction models.

Personalized AI detection considers:

Age and family history
Diet and activity levels
Sleep patterns
Stress levels
Blood markers
Genetic factors

This creates a highly individualized health risk profile.

SecondMedic’s AI engine creates a personalized risk score for each user, allowing targeted preventive strategies.

AI for Cancer Early Detection

Cancer often goes undiagnosed until it reaches advanced stages. AI helps detect early warning signs by analyzing subtle abnormalities.

AI supports early cancer detection in:

Breast cancer (mammograms)
Cervical cancer (Pap tests and visual scans)
Lung cancer (X-rays and CT scans)
Colon cancer indicators
Skin cancer lesion analysis

This improves survival rates by supporting early diagnosis.

Real-Time Monitoring with AI

Continuous monitoring is essential for early disease detection. AI integrates with wearable devices and digital health tools to track vital parameters in real time.

AI monitors:

Heart rate trends
Oxygen levels
Blood pressure variations
Stress levels
Sleep quality
Blood glucose fluctuations (connected devices)

Real-time alerts notify users of abnormalities that require attention.

AI in Public Health Disease Detection

AI is also used at the population level to identify disease patterns and outbreaks.

AI supports public health by:

Predicting outbreak patterns
Analyzing environmental health impact
Tracking regional disease trends
Supporting government screening programs

This strengthens India’s preventive health strategy.

How SecondMedic Uses AI for Disease Detection

SecondMedic integrates AI tools throughout its digital healthcare ecosystem, helping individuals access early detection and preventive insights.

SecondMedic’s AI capabilities include:

Risk scoring for diseases
AI analysis of medical reports
Predictive analytics dashboards
Early-warning alerts
Integration with wearables
AI-supported doctor consultations

This helps users understand risks clearly and take action early.

Challenges in AI-Based Disease Detection

While AI offers powerful benefits, it must be used responsibly.

Challenges include:

Requirement of high-quality medical data
Need for clinical validation
Maintaining data privacy
Avoiding algorithmic bias
Ensuring user awareness and understanding

SecondMedic follows ethical AI practices aligned with DPDP Act and ABDM standards.

Future of AI-Based Disease Detection in India

AI will continue to redefine diagnostics in India over the next decade.

Future developments include:

Deep AI for full-body scan interpretation
Genomic-based AI predictions
Emotion and mental health detection through AI
AI-assisted virtual triage systems
At-home AI diagnostic kits
National integrated AI health platforms

SecondMedic aims to lead in these innovations by integrating advanced predictive tools.

Conclusion

AI-based disease detection India is shaping a new era of proactive healthcare. By analyzing health patterns, detecting abnormalities early, and providing accurate risk assessment, AI empowers individuals to act before diseases progress. SecondMedic uses AI-driven diagnostic tools to support early detection, preventive care, and long-term health protection.

To explore AI-powered diagnostic support, visit www.secondmedic.com

References

NITI Aayog – AI for Healthcare in India
WHO – AI in Early Disease Detection
ICMR – Chronic Disease Patterns India
IMARC – Indian AI Healthcare Market
FICCI – AI and Precision Medicine India

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