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Published on: Oct 28, 2020
2 minute read
By: Dr Rajan ( Medical Second Opinion Cell)

COVID: A Reminder To Stay Safe

COVID: A reminder to stay safe

As we approach the second wave of COVID, we need to remain vigilant with our actions to prevent the spread of the virus. We are continuously reminded about wearing a mask in public, maintaining socially distant, and not engaging in risky behavior such as large gatherings. But today we will focus on other forms of transmission. COVID is primarily transmitted by airborne droplets, but spreading the infection through infected surfaces is still feasible. Here we will look at three articles that investigate this mode of transmission.

SARS-COV-2 Survives for 28 days on surfaces

This study by Australian scientists has found that SARS-CoV-2 can survive on surfaces for up to 28 days. The team investigated using the same amounts of virus found on infected individuals, interacting with surfaces such as cotton, paper, stainless steel, glass, and vinyl. Such materials were chosen as they represent commonly touched objects such as mobile phones, ATMs, supermarket checkout regions, items that may not be cleaned regularly enough. Previous research showed the virus could be detected in aerosols for up to three hours, and on plastic and stainless steel surfaces for up to three days.

This study found the virus may survive as long as a week on most surfaces, with enough potency to re-infect. Even after two weeks, there were still plenty of detectable viruses. On other surfaces such as banknotes, the virus could survive as long as a month. The survival of the virus is also potentiated by colder temperatures. The virus is far less likely to survive at 30C than at 6 C, a worrying finding for countries currently approaching winter.

Survival of SARS-CoV 2 on the human skin

We know our skin is host to millions of different bacteria and viruses, but the conditions created by the body alongside the degree of microbial competition actually makes it quite a hostile environment for pathogenic microbes. Hirose et al looked to investigate how well the SARS-CoV-2 virus survives on human skin, using a model. They found that SARS-CoV-2 and the influenza A virus were destroyed more quickly on the skin than other surfaces such as steel, glass, and plastic. However, COVID lasted over 4x longer on skin compared to Influenza A (9 hours vs 1.8 hours).

More importantly, ethanol compounds were found to inactivate SARS-CoV-2 within 15 seconds on human skin. This highlights the importance of regular hand washing, even if with alcohol gel. Taking this in mind, it is useful to keep small bottles of alcohol gel on a person when traveling in public and using it regularly. After all, if you are touching door handles and other items that hundreds of other people may have touched before you, potentially with poor hygiene, it is safer to regularly disinfect.

Low risk of COVID transmission by fomites in real life conditions

Having taken these studies into account, it is quite difficult to quantifiably measure transmission from surface to a person. Knowledge of this transmissibility is quite important, especially to those working in a hospital environment. A review by Mondelli et al published in the prestigious journal The Lancet (Infectious Disease) describes two sequential studies to looking at the possibility of contamination of surfaces in an infectious disease ward of a major Italian hospital, and also whether risk of transmission was higher in emergency rooms and sub-intensive care wards.

These studies found there were very few surfaces in the hospital through which positive swabs could be taken, suggesting contamination was low. Of course the hospitals were running standard cleaning procedures, with regular wipedowns of commonly toughed objects. This again highlights the importance of maintaining hygiene, and how adequate cleanliness can significantly reduce the risk of infection.

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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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