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Published on: Jul 05, 2020
1 minute read
By: Dr Rajan Choudhary

DOCTORS DAY: THE CELEBRATION OF DR BIDHAN CHANDRA ROY

Today is the 1st of July, also known as Doctor’s Day. We celebrate it in honor of Dr Bidhan Chandra Roy, one of the most influential men in Modern India.

He was born in 1882 in Patna, the youngest of five siblings, to a modest family. He studied at Presidency College, Kolkata, and later at Patna College with Honours in Mathematics. After completing further studies at Calcutta Medical College he left for England to pursue further medical training.

Records show he tried to apply at St Bartholomew’s Hospital, London, over 30 times before they relented and allowed entry. Within two years he was a fellow of not just the Royal College of Physicians but also the Royal College of Surgeons, a feat unheard of today.

When India was pushing for its freedom Dr Roy returned home with the aim of making his home nation’s people strong, healthy and successful. He had a major role in establishing healthcare facilities including the Jadavpur TB Hospital, Chittaranjan Seva Sadan, Kamala Nehru Memorial Hospital, Victoria Institution and Chittaranjan Cancer Hospital in Kolkata.

He was very close to Mahatma Gandhi's personal physician & the only man Gandhi would reluctantly obey. During

When India got independence, he wanted to go back to medicine, but Gandhi told him Bengal needed him. During his fast in Pune, Dr Roy visited him and encouraged him to take his medicine.

Gandhiji had refused medicines because they were was not made in India and asked him, "Why should I take your treatment? Do you treat four hundred million of my countrymen free?" The doctor had replied "No Gandhiji, I could not treat all patients free. But I came here not to treat Mohandas Karamchand Gandhi, but to treat someone who represents the four hundred million people of my country."

Dr Roy was also very involved in politics and leadership roles, having a significant positive impact on people's lives. He played a role as the Mayor of Calcutta, Vice-Chancellor of Calcutta University, President of the Medical Council of India and the Governor of the United Provinces (now Uttar Pradesh). It was under his mayorship that the city undertook a massive expansion in free education, public health care, road infrastructure, improved lighting, and water supply.

After Independence Gandhiji persuaded him to stay as a leader, in the office of Chief Minister of West Bengal, on the condition he could pick his cabinet without political interference. Under his stewardship, he elevated the state from a time of chaos and violence to one of peace within three years.

One of his quotes is hugely relevant in these times. "Difficulties are always there-they will always be there, and I am glad that there are difficulties, for they excite the imagination and the intellect, and you can then find out the means by which you can solve the problem".

It is this role model we celebrate today on Doctor’s Day.

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Machine Learning in Healthcare India: A New Era of Predictive and Personalized Care

Machine learning is driving one of the biggest transformations in Indian healthcare. Machine learning in healthcare India is improving diagnostics, predicting diseases early, and enabling personalized treatment plans based on large volumes of medical data. India’s enormous population, diverse health patterns, and rising burden of lifestyle diseases make ML an essential technology for improving care outcomes.

SecondMedic integrates machine learning across diagnostics, risk scoring, preventive care, and remote monitoring to create intelligent, data-driven healthcare experiences.

Why Machine Learning Is Crucial for India’s Healthcare

India faces major challenges: increasing chronic diseases, low doctor-to-patient ratio, and gaps in early diagnosis. Machine learning helps overcome these limitations through automated analysis and predictive insights.

ML supports:

Accurate disease prediction
Faster diagnosis
Personalized treatment
Proactive health management
Population-level insights

These benefits significantly improve care outcomes.

Machine Learning in Diagnostics

ML excels at interpreting complex medical data faster than traditional methods.

ML improves diagnostics by:

Identifying abnormal patterns
Analyzing imaging scans
Interpreting lab values
Comparing historical trends
Supporting clinical decisions

This reduces misdiagnosis and saves time.

Predictive Healthcare with Machine Learning

Predictive analytics is one of the most powerful ML applications.

ML predicts risks for:

Heart disease
Diabetes
Kidney disorders
Thyroid imbalances
Mental health issues
Respiratory disorders

SecondMedic provides predictive scoring for early detection.

Personalized Treatment Planning

Machine learning tailors treatment to individual needs.

ML personalizes care based on:

Age and genetics
Lifestyle patterns
Vitals and wearable data
Sleep and stress levels
Previous medical history

This ensures more accurate and effective treatment.

ML in Remote Patient Monitoring

With the rise of home healthcare, ML analyzes continuous vitals data.

ML monitors:

Heart rate
Blood oxygen
Blood sugar
Blood pressure
Sleep cycles

AI-generated alerts support timely intervention.

ML in Medical Imaging

ML enhances imaging interpretation by detecting subtle visual patterns.

Applications include:

Lung infections
Cancer markers
Cardiac abnormalities
Brain lesions
Kidney anomalies

This improves radiology accuracy and speed.

ML for Population Health in India

ML identifies health trends at a large scale, helping policymakers and hospitals plan resources.

ML provides:

Outbreak prediction
Disease burden patterns
Community health insights
Regional risk mapping

These tools help improve national healthcare planning.

Challenges in ML Healthcare Adoption

While ML is powerful, challenges include:

Data quality issues
Need for clinical validation
Privacy concerns
Infrastructure limitations
Need for skilled professionals

SecondMedic follows ethical ML standards and ensures secure data practices.

Future of Machine Learning in Indian Healthcare

Upcoming innovations include:

Deep learning diagnostics
Digital health twins
Fully AI-driven preventive dashboards
ML-based robotic treatments
Genomic ML predictions

SecondMedic is committed to building future-ready ML healthcare solutions.

Conclusion

Machine learning in healthcare India is transforming medical care through predictive analytics, personalized treatment, and early disease detection. SecondMedic uses machine learning across its digital ecosystem to deliver accurate, efficient, and patient-centered care.

To explore ML-powered healthcare tools, visit www.secondmedic.com

References

NITI Aayog – AI & ML in Indian Healthcare
WHO – Machine Learning in Clinical Practice
ICMR – India Chronic Disease Data
IMARC – AI & ML Healthcare India
FICCI – Emerging Health Technologies India

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