Kunal Walia’s Post

AI in Healthcare: Transformations of the Week You Need to Know In a week bustling with innovation, AI has proven its mettle once again, particularly in the healthcare sector. From streamlined patient diagnosis to revolutionary treatment methodologies, AI is at the forefront, redefining our approach to health and wellness. Here's a glimpse of some groundbreaking stories that emerged this week. One of the most promising developments comes from the Mayo Clinic, where AI algorithms are being utilized to predict patient deterioration with unprecedented accuracy. This system keeps a constant watch over millions of data points, potentially saving lives by catching early warning signs that human eyes might miss. This breakthrough illustrates AI’s potential to act as a second set of eyes for healthcare professionals, enhancing patient care. Across the Atlantic, in the UK, the NHS has embarked on a collaborative project with Google Health. They aim to develop AI tools to accelerate the diagnosis of eye diseases. This initiative is hoped to mitigate the long waiting times for diagnosis and treatment, possibly reversing vision loss in countless patients by offering earlier interventions. Meanwhile, Stanford University has been making waves with its AI models that can predict patient outcomes post-surgery. Using data from thousands of past procedures, these models help doctors make more informed decisions about surgical risks and patient recovery plans, potentially revolutionizing postoperative care. On the pharmaceutical front, AstraZeneca and BenevolentAI have initiated a partnership. They’re harnessing the power of AI to understand complex diseases like lupus and ulcerative colitis better and discover novel treatments. This partnership epitomizes the future of drug discovery, where AI can sift through vast amounts of data to pinpoint new therapeutic targets quickly. Lastly, a startup known as Tempus has raised significant funding to enhance its AI-driven platforms. These platforms support personalized cancer treatment by analyzing clinical and molecular data. It’s a game-changer, offering tailored treatment options that align with the specificities of each patient’s cancer. These stories show that the fusion of AI and healthcare is not just a trend but a transformative force. As AI continues to evolve, so will our ability to diagnose, treat, and even cure diseases once thought incurable. It’s an exciting time to be at the intersection of technology and health. Sources: Mayo Clinic - https://lnkd.in/ghDPK7u8 #AIinHealthcare, #HealthcareInnovation, #MedicalAI, #HealthTech

🗞️ This Week’s News in AI Applied to Healthcare ⏵ Fierce Healthcare´s new report to highlight a decade of rapid growth in the health tech sector, emphasizing how venture capital funding continues to drive innovation. For 2024, the focus is shifting towards strategic investments in startups tackling critical challenges like care delivery, operational efficiency, and patient engagement. The report underscores the increasing role of AI and digital health solutions in shaping the future of healthcare, with venture capitalists prioritizing sustainable growth and impactful technologies. ⏵ Suki to launch new AI features for clinicians in their solution. The AI-powered assistant introduced Patient Summary and Q&A features to streamline clinical workflows. Built on Google Cloud, these tools provide quick access to patient information and enable dynamic question-and-answer support for clinicians. ⏵ Navina to partner with agilon health to enhance value-based care. Navina’s AI platform integrates with Agilon Health to deliver actionable insights at the point of care, helping primary care physicians improve patient outcomes in risk-based contracts. ⏵ Cedars-Sinai to invest $6M in Amae Health. They are expanding their partnership with Amae Health, a startup focused on integrated care for severe mental illnesses, supporting clinic expansions across the U.S. ⏵ An Australian biotechnology company to announce the launch of Vietnam’s first AI-driven virtual hospital. Core8 is planning to launch MedArmor AI Hospital in Vietnam, focusing on preventive care and sustainability, marking a significant step in the country’s digital healthcare transformation. ⏵ Froedtert Health to use AI for bed demand forecasting. They are developing AI-driven predictive tools able to optimize bed capacity management, improving patient care and operational efficiency. ⏵ Unite Genomics to launch an AI platform to close care gaps. The health analytics company is partnering with pharma to develop an AI-powered platform to allow patients to unify their health information across multiple providers. The platform is then analyzing the data and identifying care gaps, helping patients personalize and optimize their healthcare journeys. The tool is already in use for ALS, certains cancers and other rare diseases. ⏵ Massachusetts Institute of Technology researchers to unveil SciAgents for hypothesis generation. It’s an AI framework that autonomously generates and evaluates research hypotheses, accelerating discovery in biologically inspired materials. ⏵ Massachusetts Institute of Technology researchers to introduce Boltz-1 for biomolecular modeling. It is a fully open-source AI model, enabling accurate predictions of biomolecular structures, facilitating breakthroughs in drug discovery and biomedical research. 👋 See you next week! #AI #healthcare #innovation #healthtech #precisionmedicine

💉AI in Healthcare: The Tech That Saves Lives Imagine this... an AI detecting cancer earlier than any doctor could. Sounds futuristic? It’s already a reality!🌟 Here’s how AI is transforming healthcare: 🩺Early Detection: Tools like AI-powered image analysis can spot diseases like cancer faster and more accurately than ever before. 🇮🇳 Closer to Home: In India, startups like Niramai are leading the way. They use AI for early breast cancer detection—non-invasive, affordable, and accessible, even in rural areas where healthcare is often limited. And this is just the beginning. From diagnosing rare diseases to predicting outbreaks, AI isn’t just technology—it’s hope.💙 💭 Your Turn: If you could choose one problem for AI to solve in healthcare, what would it be? Share your ideas—let’s brainstorm how tech can truly transform lives . . #AIInHealthcare #TechThatCares #LifeSavingInnovation

AI is already revolutionising healthcare in ways we couldn’t have imagined just a few years ago. Take breast cancer detection, for example, AI systems can now detect it with an incredible 94.5% accuracy from mammograms, even outperforming many radiologists! 📈 In fact, Sir John Bell, former President of the United Kingdom's Academy of Medical Sciences, believes that AI technology diagnosing heart could slash the NHS’ £2.2 billion pathology spend by 50%. This means fewer families facing the anxiety of late-stage cancer and heart disease diagnoses and more people surviving. However, using AI for healthcare isn’t just about spotting illness early—it’s about preventing it in the first place. AI is already predicting health risks by analysing medical history, lifestyle, and even genetics 🧬. A great example comes from a recent project at the Cleveland Clinic, where AI was used to predict heart attacks with over 85% accuracy. Diabetes costs the NHS a staggering £10 billion a year, and much of it could be prevented. That’s why innovations like the biochip developed by Randox in partnership with the University of Exeter can be transformative. This is the first tool globally to use genetic profiling to identify individuals at high risk of developing Type 1 diabetes (T1D), quickly identifying those who should receive further testing and fast-tracking access to critical treatment. Supporting innovations like these is essential for improving public health but also for significantly reducing long-term costs to the NHS. This kind of tech means we can be proactive, giving people the chance to make changes to their lifestyle or get the treatment they need before they face a life-threatening condition. It’s giving people control over their health in a way we’ve never had before. Our NHS is under pressure, but AI can help free up time for our amazing staff by handling routine tasks. By supporting new tech in healthcare, we’re taking small, smart steps towards better care for everyone. 💙

"Transforming Healthcare: The Power of AI in Diagnostics and Patient Care" Recent breakthroughs in AI are set to transform healthcare diagnostics and monitoring. PathAI has developed algorithms for detecting breast cancer biomarkers, while a new smartphone app enables remote cardiopulmonary assessment. These innovations, along with AI advancements in chest X-ray analysis and Alzheimer's detection, promise to enhance diagnostic accuracy, improve patient care, and increase healthcare accessibility. This marks a significant shift towards AI-driven, personalized healthcare solutions that could reshape the industry landscape. Key Business Impacts: - Improved patient outcomes through earlier and more accurate disease detection - Potential for new revenue streams from AI-powered diagnostic tools - Disruption of traditional diagnostic methods and care pathways - Acceleration of R&D cycles in diagnostics and personalized medicine - Increased accessibility to advanced health monitoring, especially in underserved areas Insight for R&D Leaders: The convergence of AI and healthcare is creating unprecedented opportunities for innovation. To stay competitive, R&D leaders must prioritize AI integration, focus on user-friendly interfaces, and validate their solutions in real-world settings. Collaboration between AI experts, clinicians, and biologists will be crucial in driving meaningful advancements. Now is the time to act. Invest in AI capabilities, forge strategic partnerships, and engage with regulatory bodies to help shape the future of healthcare. By embracing these innovations, we can significantly improve patient care and drive the next wave of healthcare transformation. #AI #medicaldevices #pathAI #Diagnostics source: https://buff.ly/4gAEoVX

𝗠𝗲𝗲𝘁 𝗠𝗶𝗿𝗮𝗶,  𝗧𝗵𝗲 𝗔𝗜 𝗠𝗼𝗱𝗲𝗹 𝗧𝗵𝗮𝘁 𝗣𝗿𝗲𝗱𝗶𝗰𝘁𝘀 𝗕𝗿𝗲𝗮𝘀𝘁 𝗖𝗮𝗻𝗰𝗲𝗿 𝗨𝗽 𝘁𝗼 𝟱 𝗬𝗲𝗮𝗿𝘀 𝗕𝗲𝗳𝗼𝗿𝗲! . . . MIT researchers have developed Mirai, an AI model! Predicts breast cancer 𝘂𝗽 𝘁𝗼 𝟱 𝘆𝗲𝗮𝗿𝘀 𝗯𝗲𝗳𝗼𝗿𝗲 clinical diagnosis. It is transforming how we approach screening and early detection. 𝗞𝗲𝘆 𝗛𝗶𝗴𝗵𝗹𝗶𝗴𝗵𝘁𝘀: 🔍 𝗛𝗶𝗴𝗵 𝗔𝗰𝗰𝘂𝗿𝗮𝗰𝘆:  💡 Trained on over 200,000 mammogram exams. 💡 It outperforms existing risk assessment algorithms. 💡 Mirai maintains accuracy across various demographics. 💡 This model helps reduce critical gaps in breast cancer outcomes. 📊 𝗥𝗶𝘀𝗸 𝗣𝗿𝗲𝗱𝗶𝗰𝘁𝗶𝗼𝗻:  💡 The model evaluates risk at various future time points. 💡 Enables customized screening strategies for each patient. 💡 Identifies high-risk patients up to two years before a potential diagnosis. 🩺 𝗖𝗹𝗶𝗻𝗶𝗰𝗮𝗹 𝗙𝗮𝗰𝘁𝗼𝗿𝘀:  💡 Mirai includes non-image risk factors such as age and family history. 💡 This integration boosts the model's accuracy. 💡 Ensures strong performance across different clinical settings. Mirai shifts from age-based screening to personalized approaches, enabling earlier detection, lowering mortality rates, and improving patient outcomes. This innovation not only promises to enhance risk-screening guidelines but also aims to ensure that high-risk individuals receive the most effective care. 💬 𝗜𝗳 𝘆𝗼𝘂’𝗿𝗲 𝗽𝗮𝘀𝘀𝗶𝗼𝗻𝗮𝘁𝗲 𝗮𝗯𝗼𝘂𝘁 𝘁𝗵𝗲 𝗶𝗻𝘁𝗲𝗿𝘀𝗲𝗰𝘁𝗶𝗼𝗻 𝗼𝗳 𝗔𝗜 𝗮𝗻𝗱 𝗵𝗲𝗮𝗹𝘁𝗵𝗰𝗮𝗿𝗲, 𝗹𝗲𝘁'𝘀 𝗰𝗼𝗻𝗻𝗲𝗰𝘁 𝗮𝗻𝗱 𝗲𝘅𝗰𝗵𝗮𝗻𝗴𝗲 𝗶𝗱𝗲𝗮𝘀! 𝗣.𝗦. For more information and insights, contact us https://lnkd.in/dT6xaKqn and visit our website https://techling.ai/ #BreastCancer #AI #MIT #EarlyDetection #MachineLearning 

India is at the forefront of #innovation in #ArtificialIntelligence, especially in the healthcare sector. As our population #grows and healthcare demands increase, #AI-based startups are stepping up to meet these challenges head-on. 🚀 Here are the top AI-powered healthcare #startups making a significant impact: Qure.ai: Precision in Medical Imaging 🩺 Founded by Prashant Warier and Pooja Rao in 2016, Qure.ai uses advanced AI algorithms to interpret #radiology images with high accuracy. Their flagship product, qXR, analyzes chest X-rays for conditions like tuberculosis and lung cancer. With $40M raised in 2022, they're expanding #globally to make diagnostics more accessible. 🌍 Healthify: Personalizing Health and Wellness 💪 Since 2012, Healthify, founded by Tushar Vashisht and Mathew Cherian, has been leveraging AI to provide personalized diet plans and #fitness routines. Their AI nutritionist, Ria, helps users manage weight and improve health. With $30M raised in 2021, they're enhancing AI capabilities and expanding #internationally. 🌐 Niramai Health Analytix: Early Detection of Breast Cancer 🩸 Geetha Manjunath and Nidhi Mathur's Niramai, founded in 2016, uses #AI and thermal imaging for non-invasive, radiation-free #breastcancer screening. With $625K raised in 2023, they aim to improve cancer detection rates, especially in areas with limited access to traditional methods. 🎯 SigTuple: Automating Medical Diagnostics 🧬 Founded in 2015 by Tathagato Rai Dastidar, Rohit Kumar Pandey, and Apurv Anand, SigTuple's AI platform, Manthana, automates the analysis of medical data, improving diagnostic accuracy for conditions like blood disorders and #diabetic retinopathy. With $4.3M raised in 2023, they're scaling their tech to more healthcare facilities. 🏥 MFine: Accessing Healthcare Anytime, Anywhere 🌍 Since 2017, MFine, founded by Prasad Kompalli and Ashutosh Lawania, has offered a digital platform for instant medical #consultations and diagnostics. Their AI assists doctors in diagnosing and treatment planning. With $48M raised in 2021, MFine is expanding its network of partner hospitals and clinics. 📱 These startups are #revolutionizing healthcare by making it more #efficient, affordable, and accessible. As they grow, their impact on healthcare delivery and patient outcomes will be profound. 🔗Read the Article - https://lnkd.in/d_AUwbit 🖊️Writes - Dr. Jayati Dubey 🌐 Stay Informed with our Latest Stories – https://lnkd.in/gMUPB2Zp #AI #HealthcareInnovation #HealthTech #Startups #India

"Transforming Diagnostics: How AI is Revolutionizing Early Disease Detection": AI-Powered Diagnostics: AI algorithms are being used to analyze medical data, such as images, lab results, and patient records, to identify signs of diseases early, often before symptoms appear. Improved Accuracy: AI systems are capable of analyzing vast amounts of data with high precision, reducing human error in diagnosing diseases and increasing the accuracy of early detection. Medical Imaging Analysis: AI models, particularly in radiology, are revolutionizing medical imaging by detecting abnormalities in X-rays, CT scans, MRIs, and other imaging modalities, identifying diseases like cancer, heart conditions, and neurological disorders. Predictive Analytics: AI uses machine learning to predict the likelihood of disease onset by analyzing patterns in patient history, genetics, and lifestyle data, helping with early interventions and preventive care. Faster Diagnostics: AI speeds up diagnostic processes, enabling quicker identification of diseases, which is crucial for initiating treatment earlier and improving patient outcomes. Non-Invasive Testing: AI enhances non-invasive diagnostic methods, such as analyzing blood tests or genetic data, to detect conditions like diabetes, genetic disorders, and certain cancers without requiring invasive procedures. Real-Time Monitoring: AI-based tools and wearables can track patient vitals and symptoms in real-time, alerting healthcare providers to potential issues early, allowing for timely intervention and care adjustments. Precision Medicine: AI helps tailor personalized treatment plans by analyzing individual patient data, such as genetics and lifestyle, to identify the most effective therapies for early-stage diseases. Cost Reduction: Early detection through AI can reduce healthcare costs by preventing the progression of diseases, minimizing the need for expensive treatments, and reducing hospital stays. Ethical and Privacy Considerations: The integration of AI in diagnostics raises concerns about patient data privacy, algorithmic bias, and the need for regulatory frameworks to ensure the ethical use of AI in healthcare. AI is transforming early disease detection by offering more accurate, faster, and cost-effective solutions, while also presenting challenges related to data privacy and ethical use.

We're thrilled to announce our latest investment in Ai Health Highway, creators of AiSteth – India's first AI-enabled stethoscope. In a world where early detection can be life-changing, Ai Health Highway is transforming how we approach Valvular Heart Disease (VHD) screening. Their groundbreaking AiSteth technology: - Seamlessly blends traditional and digital stethoscope functionalities - Converts complex heart sounds into easy-to-interpret visual data - Enables recording, storing, and sharing of results via smartphone This isn't just an upgrade to existing tools – it's a complete reimagining of healthcare accessibility. Ganesh Raju, Founder of Turbostart, shares his excitement: "We're thrilled to support Ai Health Highway and its exceptional founding team, who bring together a powerful blend of medical expertise, business acumen, and technological innovation. Their work goes beyond upgrading the stethoscope – they're reimagining screening tools to make healthcare more accessible in the modern age. Their smart stethoscope technology has the potential to bring quality screenings to underserved communities, democratizing access to early detection. We're excited to see how they will transform healthcare accessibility, creating meaningful impact in an industry where change is not just welcome, but necessary." Dr (Maj) Satish S Jeevannavar, Founder & CEO of Ai Health Highway, adds: "We are delighted to announce Turbostart as the Lead Investor for our Pre-series A round, joined by co-investors Rainmatter by Zerodha and BITS BioCyTiH Foundation. Our existing investors, The Chennai Angels, along with other angel investors, have also participated in this round. This investment will empower Ai Health Highway to solidify its presence in India, accelerate regulatory approvals internationally, and broaden its AI/ML offerings in the Cardio-Respiratory domain. Having already facilitated the screening of over 40,000 patients across 12+ Indian states for VHD, our mission is to reduce premature deaths due to NCDs by 30% by 2030, and we are thrilled to collaborate with Turbostart on this. The expertise of their seasoned professionals and Centers of Excellence will be invaluable as we navigate the complex global healthcare landscape." At Turbostart, we're committed to supporting their journey: - Expanding reach across India and into international markets - Enhancing AI capabilities for more precise detection - Exploring new screening areas to broaden impact Stay tuned for more updates on how Ai Health Highway is set to transform cardiac care worldwide! #HealthTechInnovation #AIinHealthcare #StartupInvestment #TurbostartPortfolio

Human Touch in Healthcare: How AI is Redefining Patient Care This Week In the ever-evolving landscape of technology, AI continues to make its mark on healthcare, and this week has been no exception. From advanced diagnostic tools to improved patient management systems, let's unwrap the stories that show how AI is transforming the medical field in real-time. Imagine a world where your doctor is backed by an AI assistant that can crunch data faster than you can say 'stethoscope'—well, that world is here. Researchers have developed a new AI-driven diagnostic tool that can detect early-stage Alzheimer's with 95% accuracy, offering hope for millions worldwide. Over at Massachusetts General Hospital, a novel AI system is helping radiologists diagnose lung cancer, cutting through the ambiguity of X-ray images with unprecedented clarity. On a more granular level, a study reveals that AI algorithms are now able to predict sepsis in hospitalized patients up to five hours before it manifests, potentially saving countless lives. In administrative advancements, a UK-based hospital has introduced an AI-powered system to manage patient flow, reducing waiting times and optimizing resource allocation. Last but not least, it isn't just the medical field that's feeling the AI revolution; drug development got a boost with an AI model that accelerated the discovery of a promising antiviral treatment in just a few weeks, flattening the curve in research time dramatically. These strides in AI don't just streamline operations or improve diagnostics; they bring us a step closer to personalized, data-driven patient care, making healthcare not just more efficient but profoundly humane. Sources: MIT Tech Review - https://lnkd.in/eF8qu-Nn #AIinHealthcare, #FutureOfMedicine