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Published on: Apr 04, 2020
3 minute read
By: Dr Rajan Choudhary

Developing A Vaccine For COVID-19? Part 1

It is often stated vaccination has made the greatest contribution to global health of any human discovery, other than clean water and sanitation, and their impact on everyday life is immediately evident. We have managed to completely eradicate two major infections from existence (smallpox and rinderpest) , and the WHO are working towards adding polio to that list.

In these cases the numbers speak for themselves. It is estimated that the eradication of smallpox in 1980 has saved 5 million lives per year, adding up to 150 to 200 million by 2018. Common vaccination programmes for polio, measles, mumps, rubella, rabies and hepatitis A have prevented nearly 200 million cases from occurring in the US alone over the past 50 years, and 4.5 billion instances of the diseases worldwide.

We have achieved a 99% immunisation rate against polio, preventing children from suffering crippling paralysis, and only 3 countries remain. Sadly, around 1.4 million children under 5 still die from preventable diseases each year as they do not have access to these life saving vaccines, but charities and public health organisations around the world are working hard to improve access.

So what are vaccines? And how will they help is in the face of the latest pandemic? Here we will go into the challenges behind making vaccines, and why a vaccine against COVID-19 is unlikely to be ready in the next few months, or even this year.

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4024226/ contribution of vaccination

https://www.who.int/features/factfiles/polio/en/ polio eradication

https://www.sciencedaily.com/releases/2017/03/170303163208.htm study article

WHAT IS A VACCINE

The human body’s immune system is incredibly smart. It is able to distinguish between infective organisms, such as bacteria, viruses and parasites, from our own body’s cells, target these invaders for destruction and keep our bodies healthy. Even better, the body remembers any previous infections it has had before, recognise these previous infections even quicker and even eradicate the disease before we know we are infected.

Vaccines target the immune system’s memory by presenting them with pieces of these infective diseases. The small amounts do not cause any infective symptoms, but if the person is infected later in life their body will mount a quicker response and prevent them from falling ill. These vaccines can contain broken up parts of the organisms, “dead” organisms or “live” versions that have been severely weakened so they cannot cause any harm.

In summary, medicines treat us when we get an infection. Vaccines make sure we never suffer from an infection in the first place.

https://www.chop.edu/centers-programs/vaccine-education-center/making-vaccines/how-are-vaccines-made Making Vaccines

THE HURDLES WE FACE IN RESEARCH

Making a vaccine is a difficult process, one that can take 3–5 years and cost hundreds of millions of dollars, sometimes billions of dollars. This is because there are many difficult steps to be taken in the process of creating a vaccine that is effective, but more importantly one that is safe.

To start with the troubling organism has to be identified. For COVID-19 it took a few weeks to recognise the virus responsible, and some time more to understand its genetic code and grow the virus in lab conditions. We then have to understand the virus, how it infects, how it causes symptoms, and how it has mutated compared to the coronaviruses responsible for SARS and MERS.

After this, we have to isolate parts of the virus our immune system will recognise. This is usually the outside coat of the virus. The DNA responsible for making these parts need to be found in the virus’ genetic code, and put inside other “skeleton” viruses. This will force the dummy virus to look like coronavirus, without the ability to infect and kill someone.

These dummy viruses can be injected into animals to see if it causes an immune reaction, whether the immune system recognises it as the coronavirus responsible for COVID-19, and whether it will protect the animal from the real COVID-19. Up to now the research has likely cost a few million dollars. The next step is when the price inflates up to billions.

If the vaccine appears safe in animals, it can be tested in humans. This can be dangerous at first, since we don’t know whether a vaccine that works in an animal will work in a human. And we don’t know if there will be any side effects to the vaccine. Human testing has to be very thorough, very careful, and safe for use. If you give too much of the virus it might make the person sick, too little and it wont immunise the person. These clinical trials can take years, and if the vaccine fails at this point its back to the drawing board, to try another step.

https://www.theatlantic.com/politics/archive/2014/10/how-to-make-an-ebola-vaccine-5-simplified-steps/454443/ ebola vaccine

Now we have a basic understanding of what vaccines are and why it takes so long to make a vaccine. In the next part we will look at why viral vaccines can cause even more problems, and how far we have come with the COVID-19 vaccine,

Dr Rajan Choudhary, London UK

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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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