Hyderabad: City startup achieves global first in regenerative medicine for liver failure
The investigational product, Tulsi-28X, is a groundbreaking regenerative therapy derived from Wharton's Jelly mesenchymal stem cells and their native exosomes. It's a combination that has never been tested in any animal model worldwide. Although conceptualised in the United States, the platform was developed in India through three years of intensive research at ASPIRE-BioNEST.
The preclinical trial, conducted in collaboration with global experts including Dr. Naga Chalasani (Indiana University, USA) and Dr. Ajay Duseja (PGIMER, Chandigarh), demonstrated 100% of the animals treated with Tulsi-28x showed reversal of liver fibrosis (indicating liver regeneration) resulting in zero deaths, compared to only 14% reversal (p<0.001) and 43% deaths (p<0.0066) in the untreated control group.
'This is a significant milestone for India's biotech industry,' said Dr. Sairam Atluri, Founder & CEO of Tulsi Therapeutics. 'ASPIRE-BioNEST provided a world-class platform that helped us translate our vision into scientific reality. While human trials are the next challenge, this study opens doors to a new class of biologics in liver disease.'
Key results were presented at the prestigious AASLD 2024 Liver Conference in San Diego and accepted for publication in the Journal of Regenerative Medicine.
Tulsi Therapeutics is recognised as the world's first biotech company developing a dual stem cell–exosome biologic. Tulsi-28X works by secreting regenerative proteins and growth factors, stimulating the repair of diseased liver tissue.
'We are committed to developing world-class yet affordable regenerative solutions,' said Dr. Ravi Bonthala, Chief Scientific Officer, Tulsi Therapeutics. 'Our next step is to take Tulsi-28X into human clinical trials in collaboration with Nizam's Institute of Medical Sciences (NIMS).'
Chronic liver failure remains a serious public health concern in India, contributing to nearly 20% of global liver-related deaths. With transplantation being the only current treatment, Tulsi-28X represents a potential paradigm shift.
'This milestone highlights how India's innovation ecosystem—anchored by institutions like the University of Hyderabad and enabled by BIRAC and incubators like ASPIRE-BioNEST—is capable of delivering breakthrough global biotech products,' said Prof. B.J. Rao, Vice Chancellor, University of Hyderabad. 'It reflects the power of science, policy, and startup synergy.'
'Tulsi Therapeutics' achievement is a proud moment for all of us at ASPIRE-BioNEST,' said Dr. Anil Kondreddy, CEO, ASPIRE-BioNEST. 'It reflects our mission to nurture science-led innovation with real-world impact. Being rooted in the University of Hyderabad gives us the strength of academic excellence, and it's incredibly fulfilling to see this ecosystem support a global-first breakthrough in regenerative medicine. This is precisely the kind of outcome we work to enable.'
Hashtags
Try Our AI Features
Explore what Daily8 AI can do for you:
Comments
No comments yet...
Related Articles
Economic Times
5 hours ago
- Economic Times
You can still outpace AI: Wharton professor reveals a ‘skill bundling' strategy to safeguard your future from automation
iStock Artificial Intelligence is rapidly changing workplaces. Wharton professor Ethan Mollick suggests professionals focus on roles requiring diverse human skills. These include emotional intelligence and creativity. (Image: iStock) As artificial intelligence reshapes the modern workplace with stunning speed, one Wharton professor has a sobering message for today's professionals: the safest jobs of tomorrow aren't necessarily the most technical—they're the most complex. Ethan Mollick, associate professor at the Wharton School and author of Co-Intelligence: Living and Working with AI, says job security in the AI era will increasingly depend on choosing roles that bundle multiple human skills together. That means emotional intelligence, judgment, creativity, and domain expertise—all woven into one. 'AI may outperform you in one or two things,' Mollick tells CNBC Make It, 'but if your job requires five or six of them, it's a lot harder to replace.' It's the kind of insight that redefines how we think about employability in an increasingly automated world. And with AI usage surging—40% of U.S. workers now use it at least a few times a year, per a Gallup poll—these career choices have never mattered more. Mollick doesn't sugarcoat the AI wave ahead. Tech labs aren't just chasing progress—they're chasing a paradigm shift. 'Labs are aiming for machines smarter than humans within the next three years,' Mollick warns. 'They're betting on mass unemployment. Whether they succeed or not is still unclear, but we have to take it as a real possibility.' Even Nvidia CEO Jensen Huang, whose company powers some of the most advanced AI systems, echoes that sentiment—albeit from a different vantage point. In a recent All-In podcast, Huang predicted AI will create more millionaires in five years than the internet did in 20, while also cautioning: 'Anybody who is not using AI will lose their job to someone who is.' What's the solution? According to Mollick, job seekers must rethink their strategy. 'Don't go for roles that do one thing,' he says. 'Pick a job like being a doctor—where you're expected to be good at empathy, diagnosis, hand skills, and research. If AI helps with some of it, you still have the rest.' This idea of "bundled roles"—where a single job draws on varied skills and responsibilities—could be the firewall against replacement. These complex, human-centered positions are harder for AI to replicate wholesale and leave more room for humans to collaborate with AI, not compete against it. AI's evolution could make entry-level roles scarce—or at least, radically different. 'Companies will need to rethink entry-level hiring,' Mollick notes. 'Not just for productivity, but for training future leaders.' Without the chance to learn through repetition—what Mollick calls 'apprenticeship'—younger workers may miss out on foundational skills. The result could be a workforce with knowledge gaps AI can't fill, even as those same gaps are used to justify greater automation. Nvidia's Huang calls AI the 'greatest equalizer of our time' because it gives creative power to anyone who can express an idea. 'Everybody is a programmer now,' he says. But critics caution that this accessibility may also deepen divides between the AI-literate and those left behind. Eric Schmidt, former Google CEO, has a different concern: infrastructure. On the Moonshots podcast, Schmidt warned that AI's growth could be throttled not by chips, but by electricity. The U.S., he says, may need 92 more gigawatts of power to meet AI demands—equivalent to 92 new nuclear plants. As AI spreads into every corner of work, from payroll review (yes, Huang uses machine learning for that too) to high-stakes decision-making, the one thing that's clear is this: the rules are changing faster than most organizations can adapt. 'The tools are evolving fast,' Mollick says, 'but organizations aren't. And we can't ask employees to figure it all out on their own.' He believes the real danger isn't AI itself—but the lack of vision from leadership. Without a clear roadmap, workers are left adrift, trying to 'magic' their way into the future. In the race to stay relevant in the AI era, the best defense isn't to out-code or out-process a machine. It's to out-human it—by doubling down on the kind of nuanced, multi-layered work AI can't yet replicate. And by choosing jobs that ask you to wear many hats, not just one. Or as Mollick puts it: 'Bundled tasks are your best bet for surviving the AI takeover.'
Time of India
a day ago
- Time of India
You can still outpace AI: Wharton professor reveals a ‘skill bundling' strategy to safeguard your future from automation
As artificial intelligence reshapes the modern workplace with stunning speed, one Wharton professor has a sobering message for today's professionals: the safest jobs of tomorrow aren't necessarily the most technical—they're the most complex. Ethan Mollick, associate professor at the Wharton School and author of Co-Intelligence: Living and Working with AI, says job security in the AI era will increasingly depend on choosing roles that bundle multiple human skills together. That means emotional intelligence, judgment, creativity, and domain expertise—all woven into one. 'AI may outperform you in one or two things,' Mollick tells CNBC Make It, 'but if your job requires five or six of them, it's a lot harder to replace.' Explore courses from Top Institutes in Please select course: Select a Course Category Project Management Data Science Operations Management Healthcare Data Analytics others Public Policy Product Management Others Digital Marketing Management Degree CXO Cybersecurity MBA Data Science healthcare Technology Leadership Finance MCA Artificial Intelligence Design Thinking PGDM Skills you'll gain: Portfolio Management Project Planning & Risk Analysis Strategic Project/Portfolio Selection Adaptive & Agile Project Management Duration: 6 Months IIT Delhi Certificate Programme in Project Management Starts on May 30, 2024 Get Details Skills you'll gain: Project Planning & Governance Agile Software Development Practices Project Management Tools & Software Techniques Scrum Framework Duration: 12 Weeks Indian School of Business Certificate Programme in IT Project Management Starts on Jun 20, 2024 Get Details It's the kind of insight that redefines how we think about employability in an increasingly automated world. And with AI usage surging—40% of U.S. workers now use it at least a few times a year, per a Gallup poll—these career choices have never mattered more. by Taboola by Taboola Sponsored Links Sponsored Links Promoted Links Promoted Links You May Like Find out: this is how you clean your yoga mat! Kingdom Of Men Undo 'They're Aiming for Mass Unemployment' Mollick doesn't sugarcoat the AI wave ahead. Tech labs aren't just chasing progress—they're chasing a paradigm shift. 'Labs are aiming for machines smarter than humans within the next three years,' Mollick warns. 'They're betting on mass unemployment. Whether they succeed or not is still unclear, but we have to take it as a real possibility.' You Might Also Like: Nvidia CEO Jensen Huang calls AI the 'greatest equalizer of our time', predicts it will create more millionaires than the internet Even Nvidia CEO Jensen Huang , whose company powers some of the most advanced AI systems, echoes that sentiment—albeit from a different vantage point. In a recent All-In podcast, Huang predicted AI will create more millionaires in five years than the internet did in 20, while also cautioning: 'Anybody who is not using AI will lose their job to someone who is.' Pick the Job with Layers, Not Just Titles What's the solution? According to Mollick, job seekers must rethink their strategy. 'Don't go for roles that do one thing,' he says. 'Pick a job like being a doctor—where you're expected to be good at empathy, diagnosis, hand skills, and research. If AI helps with some of it, you still have the rest.' This idea of "bundled roles"—where a single job draws on varied skills and responsibilities—could be the firewall against replacement. These complex, human-centered positions are harder for AI to replicate wholesale and leave more room for humans to collaborate with AI, not compete against it. Gen Z's Entry-Level Catch-22 AI's evolution could make entry-level roles scarce—or at least, radically different. 'Companies will need to rethink entry-level hiring,' Mollick notes. 'Not just for productivity, but for training future leaders.' You Might Also Like: Former Google CEO Eric Schmidt warns of AI superintelligence outpacing Earth's energy limits: 'Chips will outrun power needs' Without the chance to learn through repetition—what Mollick calls 'apprenticeship'—younger workers may miss out on foundational skills. The result could be a workforce with knowledge gaps AI can't fill, even as those same gaps are used to justify greater automation. AI's Double-Edged Sword: Democratizer or Divider? Nvidia's Huang calls AI the 'greatest equalizer of our time' because it gives creative power to anyone who can express an idea. 'Everybody is a programmer now,' he says. But critics caution that this accessibility may also deepen divides between the AI-literate and those left behind. Eric Schmidt , former Google CEO, has a different concern: infrastructure. On the Moonshots podcast, Schmidt warned that AI's growth could be throttled not by chips, but by electricity. The U.S., he says, may need 92 more gigawatts of power to meet AI demands—equivalent to 92 new nuclear plants. As AI spreads into every corner of work, from payroll review (yes, Huang uses machine learning for that too) to high-stakes decision-making, the one thing that's clear is this: the rules are changing faster than most organizations can adapt. AI's Real Disruption? Leadership That Lags 'The tools are evolving fast,' Mollick says, 'but organizations aren't. And we can't ask employees to figure it all out on their own.' He believes the real danger isn't AI itself—but the lack of vision from leadership. Without a clear roadmap, workers are left adrift, trying to 'magic' their way into the future. In the race to stay relevant in the AI era, the best defense isn't to out-code or out-process a machine. It's to out-human it—by doubling down on the kind of nuanced, multi-layered work AI can't yet replicate. And by choosing jobs that ask you to wear many hats, not just one. Or as Mollick puts it: 'Bundled tasks are your best bet for surviving the AI takeover.'
New Indian Express
2 days ago
- New Indian Express
Hyderabad startup reverses chronic liver failure in animal trials
HYDERABAD: A Hyderabad-based startup, Tulsi Therapeutics, has demonstrated the complete reversal of chronic liver failure in animal trials using an innovative stem cell-exosome therapy. Conducted on rats, the preclinical study showed 100% liver fibrosis reversal and zero mortality among treated subjects, in stark contrast to the untreated group that saw only 14% reversal and 43% deaths. Tulsi-28X is a first-in-class regenerative biologic derived from Wharton's Jelly mesenchymal stem cells and their native exosomes, a combination never before tested in any animal model globally. Tulsi Therapeutics, incubated at ASPIRE-BioNEST, University of Hyderabad, developed the platform entirely in India over three years. Chronic liver failure accounts for nearly 20% of all liver-related deaths globally, with liver transplantation being the only treatment. Founder and CEO of Tulsi Therapeutics Dr Sairam Atluri said, 'There have been individual successes with stem cells and exosomes, but we combined them because they operate through different mechanisms. This combination maximised the biological outcome and marks a major milestone for India's biotech sector.' Looking ahead, the chief scientific officer said the next goal is to initiate human clinical trials in partnership with Nizam's Institute of Medical Sciences (NIMS), with groundwork expected to take up to two years. The results were presented at the AASLD 2024 Liver Conference in San Diego and have also been accepted for publication in the Journal of Regenerative Medicine.
