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70% vaccines sourced by WHO are from India; US imports 14% generics
She delivered the keynote address at the inaugural session of the Second Policymakers' Forum organised by the Indian Pharmacopoeia Commission (IPC) here. An international delegation of policymakers and drug regulators from 24 countries is participating in the forum.
Aimed at promoting the recognition of the Indian Pharmacopoeia and collaboration in India's initiative for flagship affordable medicines -- the Pradhan Mantri Bhartiya Janaushadhi Pariyojana (PMBJP) -- the Forum is being organised by the IPC under the aegis of the Ministry of Health and Family Welfare in association with the Ministry of External Affairs.
In her keynote address, Patel emphasised India's commitment to ensuring equitable access to quality-assured medicines and stressed the importance of regulatory harmonisation in facilitating global health equity.
She also highlighted that "under the visionary leadership of Prime Minister Shri Narendra Modi, India has emerged as a global hub for affordable healthcare solutions and continues to deepen its partnerships with nations through knowledge-sharing, capacity-building and health diplomacy".
Underlining the importance of the Jan Aushadi Kendras, Patel said, "Our Jan Aushadhi Kendras are the shining examples of India's commitment to provide quality and affordable medicines to all our citizens. Jan Aushadhi has been one of the most powerful instruments of bringing down the out-of-pocket expenditure of our citizens." Highlighting India's strides made in the direction of providing vaccines, Patel said India continues to be a leading supplier of vaccines. "As much as 70 per cent of WHO's total vaccines are sourced from India," she said.
She said during the COVID-19 pandemic, India started the 'Vaccine Maitri' initiative and supplied vaccines to more than 100 friendly countries, which depicts India's deep sense of responsibility towards global health and its intention of helping friendly countries in times of distress.
Patel said, "India continues to be a leader in drug manufacturing, especially when it comes to generic medicines. 14 per cent of generics imported by the US come from India while India also has the maximum number of US FDA (Food and Drug Administration) recognized drug manufacturing plants." She further underlined that "70% of our generics are exported to the highly regulated markets and our pharmacopeial regulations are regularly visited to meet the global benchmarks".
Patel said, "We have retained the WHO's Global Benchmarking Tool (GBT) framework, Maturity Level 3 (ML3) status which reflects the robustness of India's regulatory framework. Presently, 15 countries in the world recognise Indian Pharmacopeia as a book of standards for drugs, Cuba recently becoming the 15th country to recognise the Indian Pharmacopeia." She said it is not just a regulatory step but a move towards bringing more alignment in the quality standards, expanding access to safe and effective drugs and making trade in pharmaceuticals smoother than ever before.
Patel reaffirmed that "we are committed to helping our partner countries by way of communicating and planning" and "hope to continue to work together to advance the regulatory collaboration and promote the recognition of the pharmacopeial standards so that we can strive fast towards the shared goal of 'Health for All'".
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Scroll.in
28 minutes ago
- Scroll.in
As young Indians turn to AI ‘therapists', how confidential is their data?
This is the second of a two-part series. Read the first here. Imagine a stranger getting hold of a mental health therapist's private notes – and then selling that information to deliver tailored advertisements to their clients. That's practically what many mental healthcare apps might be doing. Young Indians are increasingly turning to apps and artificial intelligence-driven tools to address their mental health challenges – but have limited awareness about how these digital tools process user data. In January, the Centre for Internet and Society published a study based on 45 mental health apps – 28 from India and 17 from abroad – and found that 80% gathered user health data that they used for advertising and shared with third-party service providers. An overwhelming number of these apps, 87%, shared the data with law enforcement and regulatory bodies. The first article in this series had reported that some of these apps are especially popular with young Indian users, who rely on them for quick and easy access to therapy and mental healthcare support. Users had also told Scroll that they turned to AI-driven technology, such as ChatGPT, to discuss their feelings and get advice, however limited this may be compared to interacting with a human therapist. But they were not especially worried about data misuse. Keshav*, 21, reflected a common sentiment among those Scroll interviewed: 'Who cares? My personal data is already out there.' The functioning of Large Language Models, such as ChatGPT, is already under scrutiny. LLMs are 'trained' on vast amounts of data, either from the internet or provided by its trainers, to simulate human learning, problem solving and decision making. Sam Altman, CEO of OpenAI that built ChatGPT, said on a podcast in July that though users talk about personal matters with the chatbot, there are no legal safeguards protecting that information. 'People use it – young people, especially, use it – as a therapist, a life coach; having these relationship problems and [asking] what should I do?' he asked. 'And right now, if you talk to a therapist or a lawyer or a doctor about those problems, there's legal privilege for it. There's doctor-patient confidentiality, there's legal confidentiality, whatever. And we haven't figured that out yet for when you talk to ChatGPT.' Play He added: 'So if you go talk to ChatGPT about your most sensitive stuff and then there's like a lawsuit or whatever, we could be required to produce that, and I think that's very screwed up.' Therapists and experts said the ease of access of AI-driven mental health tools should not sideline privacy concerns. 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Dhruv Garg, a tech policy lawyer at Indian Governance and Policy Project, said the risk lies not just in apps collecting data but in the potential downstream uses of that information. 'Even if it's not happening now, an AI platform in the future could start using your data to serve targeted ads or generate insights – commercial, political, or otherwise – based on your past queries,' said Garg. 'Current privacy protections, though adequate for now, may not be equipped to deal with each new future scenario.' India's data protection law For now, personal data processed by chatbots is governed by the Information Technology Act framework and Sensitive Personal Data Rules, 2011. Section 5 of the sensitive data rules says that companies must obtain consent in writing before collecting or using sensitive information. According to the rules, information relating to health and mental health conditions are considered sensitive data. 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'For instance, if you search for symptoms on Google or visit WebMD, Google isn't held to a higher standard of liability just because the content relates to health,' said Garg. WebMD provides health and medical information. It might be different for AI tools explicitly designed for mental healthcare – unlike general-purpose models like ChatGPT. These, according to Garg, 'could be made subject to more specific sectoral regulations in the future'. However, the very logic on which AI chatbots function – where it responds based on user data and inputs – could itself be a privacy risk. Nidhi Singh, a senior research analyst and programme manager at Carnegie India, an American think tank, said she has concerns about how tools like ChatGPT customise responses and remember user history – even though users may appreciate those functions. Singh said India's new data protection is quite clear that any data made publicly available by putting it on the internet is no longer considered personal data. 'It is unclear how this will apply to your conversations with ChatGPT,' she said. Without specific legal protections, there's no telling how an AI-driven tool will use the data it has gathered. According to Singh, without a specific rule designating conversations with generative AI as an exception, it is likely that a user's interactions with these AI systems won't be treated as personal data and consequently will not fall under the purview of the act. Who takes legal responsibility? Technology firms have tried hard to evade legal liability for harm. In Florida, a lawsuit by a mother has alleged that her 14-year-old son died by suicide after becoming deeply entangled in an 'emotionally and sexually abusive relationship' with a chatbot. In case of misdiagnosis or harmful advice from an AI tool, legal responsibility is likely to be analysed in court, said Garg. 'The developers may argue that the model is general-purpose, trained on large datasets, and not supervised by a human in real-time,' said Garg. 'Some parallels may be drawn with search engines – if someone acts on bad advice from search results, the responsibility doesn't fall on the search engine, but on the user.' Highlighting the urgent need for a conversation on sector-specific liability frameworks, Garg said that for now, the legal liability of AI developers will have to be assessed on a case-to-case basis. 'Courts may examine whether proper disclaimers and user agreements were in place,' he said. In another case, Air Canada was ordered to pay compensation to a customer who was misled by its chatbot regarding bereavement fares. The airline had argued that the chatbot was a ' separate legal entity ' and therefore responsible for its own actions. Singh of Carnegie India said that transparency is important and that user consent should be meaningful. 'You don't need to explain the model's source code, but you do need to explain its limitations and what it aims to do,' she said. 'That way, people can genuinely understand it, even if they don't grasp every technical step.' AI, meanwhile, is here for the long haul. Until India can expand its capacity to offer mental health services to everyone, Singh said AI will inevitably fill that void. 'The use of AI will only increase as Indic language LLMs are being built, further expanding its potential to address the mental health therapy gap,' she said.


Time of India
2 hours ago
- Time of India
Most Covid-era O2 plants battle for life in Punjab hospitals
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The Hindu
2 hours ago
- The Hindu
Simpler tests could slash biosimilar costs, widen patient access
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