India's TB Fight: How Indigenous Innovation Can Support Elimination

India TB Elimination: India's battle against tuberculosis is increasingly becoming a story not only of public-health expansion but also of indigenous technology, artificial intelligence, decentralised diagnostics and locally developed solutions designed for the scale and complexity of the Indian health system.

India continues to carry a large share of the world's tuberculosis burden, making progress in the country critical to global efforts to end TB.

Recent official data also show meaningful improvement. India's estimated TB incidence declined by approximately 21% between 2015 and 2024, from 237 cases per lakh population to 187 per lakh.

The pace of decline was nearly twice the corresponding global decline cited by the Government.

Treatment coverage reached approximately 92% in 2024, compared with around 53% in 2015.

India diagnosed about 26.18 lakh TB patients in 2024 against an estimated incidence of around 27 lakh cases, sharply narrowing the historical gap between people developing TB and those being identified by the health system.

But progress is not the same as elimination.

The remaining challenge involves finding difficult-to-reach cases earlier, improving drug-resistance detection, preventing transmission, ensuring treatment completion and reducing the economic and nutritional burden faced by patients.

This is where indigenous innovation could make a decisive difference.

Central TB Division:
https://tbcindia.mohfw.gov.in/

Ministry of Health and Family Welfare:
https://www.mohfw.gov.in/

India's TB Fight: Key Highlights

Why TB Remains a Major Challenge for India

Tuberculosis is caused by bacteria, most commonly affecting the lungs, although it can affect other parts of the body.

TB spreads through the air when a person with infectious pulmonary TB releases bacteria through actions such as coughing.

The disease is preventable and curable, but several factors make elimination difficult:

• Delayed diagnosis
• Asymptomatic or mildly symptomatic disease
• Drug-resistant TB
• Overcrowding
• Malnutrition
• Diabetes and other risk factors
• Stigma
• Treatment interruption

What Does TB Elimination Mean?

TB elimination does not simply mean treating existing patients.

A successful strategy must interrupt transmission so sharply that new disease becomes increasingly uncommon.

This requires the health system to:

• Find cases early
• Treat them effectively
• Screen contacts
• Detect drug resistance
• Provide preventive treatment
• Address nutritional and social risks

Why Indigenous Innovation Matters

India's population scale creates a unique technology challenge.

A diagnostic tool that works well inside an advanced metropolitan laboratory may not be equally useful in:

• A remote village
• A tribal district
• A mobile screening camp
• An urban slum
• A primary-care centre

Locally developed technology can be designed around Indian requirements including:

• Affordability
• Portability
• Heat and climate conditions
• Limited laboratory infrastructure
• High patient volumes

Truenat: A Major Indigenous TB Diagnostic

One of India's most prominent indigenous contributions to TB diagnostics is Truenat.

Truenat is a molecular diagnostic platform designed to detect tuberculosis using nucleic-acid amplification technology.

The platform is notable because it can be deployed closer to patients than conventional centralised molecular laboratories.

Why Molecular Diagnosis Matters

Traditional smear microscopy can miss cases, particularly when bacterial loads are low.

Molecular tests detect genetic material from the TB bacterium and can provide more sensitive diagnosis.

They can also help identify certain forms of drug resistance.

Why Truenat Fits India's Public-Health Needs

The technology was designed with features useful for decentralised settings, including:

• Portability
• Battery operation
• Rapid molecular testing
• Use closer to peripheral health facilities

This allows sophisticated diagnostic capability to move beyond large urban laboratories.

AI-Enabled Chest X-Rays

India is also expanding the use of artificial intelligence to analyse chest X-rays during TB screening.

More than 3,000 handheld AI-enabled X-ray units have been deployed as part of intensified screening efforts.

Why Portable X-Rays Can Change Screening

Traditional diagnostic pathways often require a patient to travel to a hospital or imaging centre.

Portable equipment reverses the model.

The diagnostic system can be taken directly to:

• Villages
• Workplaces
• High-risk communities
• Remote regions
• Screening camps

What Does AI Add?

AI software can assist in rapidly flagging chest X-rays that show patterns suspicious for TB.

This can help large screening programmes identify people who should receive confirmatory molecular testing.

AI Is a Screening Aid, Not a Replacement for Clinical Diagnosis

An AI-generated X-ray assessment should not be treated as a standalone final diagnosis.

Confirmatory testing and clinical evaluation remain important.

More Than 9,800 NAAT Laboratories

India has expanded access to nucleic-acid amplification testing through a network exceeding 9,800 laboratories.

The significance is not simply the number of laboratories.

The goal is to reduce the distance between a suspected patient and accurate diagnosis.

Decentralisation Is Critical

A person with TB may remain infectious while waiting weeks for diagnosis.

Reducing:

• Travel time
• Test turnaround time
• Referral delays

can therefore improve both patient outcomes and disease control.

TB Services at Ayushman Arogya Mandirs

TB services have been integrated across approximately 1.8 lakh Ayushman Arogya Mandirs.

This means TB care is increasingly connected to primary healthcare rather than concentrated only in specialised centres.

Why Primary-Care Integration Matters

People may initially visit primary care because of:

• Cough
• Fever
• Weight loss
• Weakness
• Other complaints

If TB screening is built into that system, cases can be recognised sooner.

TB Mukt Bharat App

India launched a TB Mukt Bharat digital application in 2026 to strengthen patient access and programme engagement.

The broader aim is to make information and support easier to access through digital tools.

AI-Enabled Khushi Chatbot

The digital ecosystem also includes an AI-enabled chatbot called Khushi.

Tools of this kind can potentially help patients obtain:

• Basic information
• Programme guidance
• Service navigation
• Support during treatment

Why Digital Support Matters in a Long Treatment Journey

TB treatment can extend over months.

During that time, patients may need repeated support regarding:

• Medication
• Appointments
• Side effects
• Nutrition
• Follow-up tests

Ni-kshay: India's TB Digital Backbone

Ni-kshay is the national digital platform used for TB notification and programme management.

A digital case-management system can help public-health teams monitor:

• Diagnosis
• Treatment
• Follow-up
• Outcomes
• Patient support

Why Notification Matters

If a diagnosed patient is not visible to the national programme, health authorities cannot reliably track whether treatment was initiated or completed.

Strong notification systems therefore reduce the number of patients who become lost within fragmented care pathways.

Finding the “Missing” TB Cases

One of India's long-standing challenges has been the gap between estimated TB incidence and notified cases.

The narrowing gap in recent years is an important achievement.

But the hardest remaining cases may include people who:

• Have few symptoms
• Do not seek care
• Use informal healthcare
• Live far from diagnostic facilities
• Face social stigma

Active Case Finding

Instead of waiting for a sick person to reach a hospital, active case-finding campaigns take screening into high-risk communities.

This can include:

• Symptom screening
• Chest X-rays
• Molecular tests
• Contact investigation

100-Day TB Mukt Bharat Abhiyaan

India's intensified 100-day campaign model focused screening resources on high-burden and vulnerable populations.

The approach illustrates a shift from passive detection toward aggressive search for undiagnosed disease.

Who Is at Higher Risk?

Risk can be elevated among people with:

• Household exposure to TB
• Malnutrition
• Diabetes
• HIV
• Smoking history
• Other conditions affecting immunity

Preventive Treatment

TB elimination cannot rely only on treating active disease.

Some people exposed to TB carry infection without active illness.

Preventive treatment for eligible high-risk people can reduce the chance of progression to active TB.

Household Contact Screening

When one person is diagnosed, family members and close contacts can be at increased risk.

Contact investigation helps identify:

• Undiagnosed active disease
• People eligible for preventive treatment

Drug-Resistant TB

Drug resistance remains one of the hardest problems in TB control.

Resistance can make treatment:

• Longer
• More complex
• More expensive

Why Rapid Resistance Testing Matters

If a resistant strain is treated with an ineffective regimen, valuable time can be lost.

Molecular diagnostics can help identify resistance earlier and guide more appropriate therapy.

Shorter Treatment Regimens

Modern TB programmes are increasingly adopting shorter evidence-based regimens where clinically appropriate.

Shorter treatment can improve:

• Convenience
• Adherence
• Quality of life
• Programme efficiency

Nutrition Is Part of TB Care

TB and malnutrition can reinforce one another.

TB can lead to:

• Weight loss
• Weakness
• Reduced ability to work

Malnutrition can also increase vulnerability to disease.

Ni-kshay Poshan Yojana

Under the Ni-kshay Poshan Yojana, the Government provides nutritional support to eligible TB patients through direct benefit transfers.

Official data released in 2026 said more than ₹4,590 crore had been transferred to approximately 1.39 crore TB patients since 2018.

Why Cash Support Matters

Even when drugs are free, a patient can face costs involving:

• Food
• Transport
• Lost wages
• Repeated clinical visits

Ni-kshay Mitra Initiative

The Ni-kshay Mitra programme allows individuals and organisations to support TB patients and the wider elimination effort.

Official figures have cited participation from more than 7.16 lakh citizens.

Community Support Can Reduce Stigma

Stigma can cause patients to:

• Hide symptoms
• Delay testing
• Conceal diagnosis
• Interrupt treatment

Normalising TB as a treatable infectious disease is therefore an important public-health intervention.

India's TB Research Ecosystem

TB elimination requires continuous research into:

• Diagnostics
• Vaccines
• Drug regimens
• AI screening
• Biomarkers
• Implementation models

BIRAC's Indigenous Diagnostics Push

In 2026, Grand Challenges India and BIRAC invited proposals for breakthrough and cost-disruptive diagnostic solutions targeting diseases including tuberculosis.

The programme sought:

• Near-point-of-care tests
• Ultra-low-cost diagnostics
• Transformative screening tools
• Multidisciplinary innovation

Funding for New Diagnostic Ideas

The programme provided two broad levels of support:

• Exploratory projects with funding up to ₹50 lakh
• More advanced solution or technology projects with support up to ₹2 crore

Why Startups Matter in Public Health

Startups can move quickly in areas such as:

• Portable diagnostics
• AI software
• Digital health
• Low-cost medical hardware

But scaling through a national public-health programme requires rigorous validation.

Innovation Must Be Clinically Validated

A new technology is not useful merely because it is:

• Cheap
• Fast
• AI-enabled
• Made in India

It must also demonstrate reliable performance in real patients.

Cost-Disruptive Innovation

For India, affordability can determine whether an innovation reaches thousands of people or millions.

A test that is slightly more accurate but dramatically more expensive may not always be the best solution for mass screening.

Make in India and Global Health

Indigenous TB technology can potentially benefit countries beyond India.

Many low- and middle-income nations face similar challenges involving:

• Large rural populations
• Limited laboratory infrastructure
• High TB burden
• Cost constraints

India as a Global Health Innovation Hub

India already plays a major role in producing:

• Vaccines
• Generic medicines
• Diagnostics

Successful TB innovations can expand that role into new disease-control technologies.

What India Still Needs to Solve

Despite progress, major challenges remain:

• Residual transmission
• Delayed diagnosis
• Drug-resistant TB
• Stigma
• Malnutrition
• Private-sector fragmentation
• Treatment interruption

Private Healthcare Is Critical

Many patients in India first seek treatment from private providers.

Effective TB elimination therefore requires strong coordination between:

• Government hospitals
• Private hospitals
• Private clinics
• Diagnostic laboratories

Why Universal Notification Matters

Every diagnosed case should enter a system that ensures:

• Correct treatment
• Follow-up
• Contact tracing
• Outcome reporting

TB and Diabetes

India's growing burden of diabetes complicates TB control because diabetes can increase susceptibility and affect clinical outcomes.

Integrated screening can help identify both conditions where appropriate.

TB and Air Quality

Smoking and harmful air exposure can contribute to respiratory vulnerability.

TB elimination therefore intersects with wider public-health challenges rather than existing in isolation.

Why Cities Need Special Strategies

Dense cities can contain:

• Overcrowded housing
• Mobile populations
• Informal settlements
• Fragmented private care

India's TB-Free Urban Ward initiative seeks to adapt community-led strategies to urban environments.

Can AI Predict Who Has TB?

AI can support screening and risk identification, but it should not be treated as an infallible diagnostic authority.

Clinical governance remains essential.

What Could the Future TB Screening Path Look Like?

1. A community health team identifies a high-risk individual.
2. A portable digital X-ray is performed.
3. AI flags a suspicious image.
4. A molecular sample is tested using NAAT technology.
5. Drug resistance is assessed where needed.
6. Treatment begins rapidly.
7. Contacts are screened.
8. The patient is followed digitally through Ni-kshay.

Why Speed Matters

Every delay between symptoms and effective treatment can create additional opportunities for transmission.

India's TB Elimination Strategy Is Becoming More Decentralised

The traditional model required patients to move through the health system.

The newer approach increasingly takes healthcare toward the patient through:

• Portable X-rays
• Community campaigns
• Primary-care integration
• Mobile diagnostics
• Digital follow-up

Technology Alone Will Not Eliminate TB

TB elimination requires technology plus:

• Human resources
• Nutrition
• Community trust
• Free treatment
• Public awareness
• Social support

Important Search Points

Readers searching for India TB elimination 2026, TB Mukt Bharat, indigenous TB innovation India, Truenat TB, AI X-ray TB India, tuberculosis India incidence, India TB treatment coverage, Ni-kshay, TB Mukt Bharat app, indigenous diagnostics India and BIRAC TB innovation should remember:

• India's TB incidence declined about 21% between 2015 and 2024.
• Treatment coverage reached around 92% in 2024.
• Truenat is an important indigenous molecular diagnostic platform.
• More than 3,000 handheld AI-enabled X-ray units have been deployed.
• India has more than 9,800 NAAT laboratories.
• TB services have been integrated into around 1.8 lakh Ayushman Arogya Mandirs.
• The TB Mukt Bharat digital ecosystem includes an AI-enabled Khushi chatbot.
• Nutrition and community participation remain important alongside technology.

Official Links

Central TB Division:
https://tbcindia.mohfw.gov.in/

Ministry of Health and Family Welfare:
https://www.mohfw.gov.in/

Ni-kshay:
https://nikshay.in/

BIRAC:
https://birac.nic.in/

WHO India:
https://www.who.int/india/

FAQs

Has India eliminated TB?
No. India has recorded substantial progress, but tuberculosis remains a major public-health challenge.

How much has India's TB incidence declined?
Official data indicate an approximately 21% decline from 2015 to 2024.

What was India's TB treatment coverage in 2024?
Approximately 92%.

What is Truenat?
Truenat is an indigenous molecular diagnostic platform capable of detecting TB and supporting decentralised testing.

How is AI being used against TB?
AI is being used to assist interpretation of chest X-rays and prioritise people for confirmatory testing.

How many handheld AI X-ray units have been deployed?
Official 2026 information cites more than 3,000 units.

What is Ni-kshay?
Ni-kshay is India's digital TB notification and patient-management platform.

What is Ni-kshay Poshan Yojana?
It provides nutritional financial support to eligible TB patients.

Can technology alone eliminate TB?
No. Diagnosis must be combined with treatment, prevention, nutrition, social support, contact tracing and community participation.

Conclusion

India's TB fight is increasingly demonstrating how locally developed technology can strengthen a national disease-control programme at enormous scale.

Indigenous molecular diagnostics such as Truenat, thousands of handheld AI-enabled X-ray systems, expanded NAAT laboratories, Ni-kshay digital tracking and primary-care integration are making diagnosis and treatment more accessible.

The next stage is harder.

The remaining cases are often the ones most difficult to find: patients with few symptoms, people living in remote or vulnerable communities, people receiving fragmented private care and those facing stigma or economic barriers.

That means innovation must increasingly focus on last-mile access rather than technology for technology's sake.

If India can combine low-cost indigenous diagnostics, AI, stronger primary care, nutritional support and reliable follow-up, the country's TB programme could become not only a national public-health success but also a model for other high-burden countries.