Latest news with #PathAI
Time of India
08-05-2025
- Health
- Time of India
AI meets the scalpel: The promise and prematurity of AI in healthcare
Saleh Dadkhahipour is an Iranian-born MBA student at Stanford Graduate School of Business, focusing on AI, business, and economic development. With a consulting background and experience across three continents, he is passionate about leveraging technology to drive economic transformation and foster cross-cultural collaboration. LESS ... MORE 'Healthcare in the US will likely get worse before it gets better,' said Amit Garg, Managing Partner at Tau Ventures, as we wrapped up our fireside chat on Stanford GSB's campus. The comment landed with a quiet finality, not alarmist, but precise. Garg, a seasoned venture capitalist focused on AI and digital health, wasn't hedging his bets. He was diagnosing a system with chronic ailments, from administrative bloat to perverse financial incentives, and forecasting a painful course of treatment. His view is one I increasingly share. As an MBA student immersed in innovation and entrepreneurship, I'm surrounded by peers building the future of healthcare. Yet even the most promising technologies seem to run headlong into a legacy system engineered more for reimbursement cycles than patient outcomes. The dysfunction we live with The US spends over $4.5 trillion annually on healthcare, more than any other country by far. Yet our outcomes trail peers across every major health metric. Why? Because the system isn't designed to deliver care; it's designed to navigate itself. Patients, providers, payers, pharmacy benefit managers, and policymakers operate in a web of misaligned incentives. Physicians drown in paperwork. Hospitals battle reimbursement codes. Innovation struggles to find oxygen in a space starved of interoperability and obsessed with liability. As Garg put it, 'Too many players benefit from the status quo.' The hope: What AI can actually do For all the dysfunction embedded in today's healthcare systems, artificial intelligence offers the most credible path to transformation. Its potential isn't theoretical anymore, it's unfolding in labs, clinics, and codebases around the world. Here's what AI is already doing: Diagnostics: Tools like DeepMind's AlphaFold or PathAI are now detecting diseases with a level of accuracy that sometimes exceeds trained physicians. In radiology, AI-assisted models have improved early cancer detection rates by up to 30% in clinical trials. Drug discovery: Companies like Insilico Medicine and Recursion are compressing drug development timelines by simulating molecular interactions and optimizing clinical trial design. The average cost of bringing a new drug to market is over $2 billion, AI may soon slash that. Surgical support: Robotic and AI-assisted systems are now guiding surgeons in real time, enhancing precision and reducing complications. In orthopaedics, for instance, AI tools can predict post-surgical outcomes based on thousands of prior cases. Admin relief: Clinicians spend nearly half their workday on paperwork. AI is increasingly automating billing, transcription, and prior authorizations, freeing up time for patient care. A recent study found that 90% of doctors cite administrative burden as a major cause of burnout. Personalized medicine: By analyzing genomic data, lab results, and patient histories, AI enables tailored treatment plans that outperform standardized approaches. This is especially promising in oncology, where individual responses to therapy vary drastically. These advances are not just tools, they're becoming the infrastructure for a new kind of healthcare. But like all infrastructure, they must be embedded into systems that function. That's the real challenge. The Reluctant Testbed A few weeks ago, I was speaking with a venture capitalist on Stanford's campus who put it bluntly: in most sectors, you can launch a 'good enough' product, iterate fast, and let the market be your testing ground. But in healthcare, 'good enough' is never good enough. The stakes are too high; lives are quite literally on the line. This has profound implications for founders and funders alike. Health-tech start-ups often face longer development timelines, complex regulatory approvals, and resistance from hospitals or providers who demand not just innovation but certainty. It affects how teams are built, how capital is raised, and how motivation is sustained across what can feel like a marathon of clinical trials, FDA filings, and institutional gatekeeping. At GSB, I've seen students build beautifully engineered health products, only to find out their biggest challenge isn't the tech but the trust. In this industry, the minimum viable product isn't just code; it's clinical proof. Before It Gets Better Still, Garg is clear-eyed. 'We are near the peak of inflated expectations,' he recently wrote, referencing Gartner's famous hype cycle. 'But we also fundamentally believe that the plateau of productivity will lead to tectonic shifts.' Those shifts won't come easily. In the US, we may see more burnout, deeper inequality, and slower adoption before the gains of AI and digital health reach the average patient. But ignoring these tools would be malpractice. Because when an algorithm can catch what the eye might miss, when a doctor gets hours back from the clutches of bureaucracy, and when a village gains access to care through a screen, that's not just technology. That's a system beginning to heal. And maybe, just maybe, it's worth the pain of getting there. Facebook Twitter Linkedin Email Disclaimer Views expressed above are the author's own.
Yahoo
30-04-2025
- Health
- Yahoo
PathAI to Present at Digestive Disease Week
BOSTON, April 30, 2025 (GLOBE NEWSWIRE) -- PathAI, a global leader in AI-powered pathology solutions, today announced it will present research from the outputs of IBD ExploreTM and AIM-HI UCTM at Digestive Disease Week (DDW) from May 3-6, 2025, in San Diego, CA.1 IBD Explore is an AI-powered tool providing comprehensive and quantitative characterization of the inflammatory IBD microenvironment. AIM-HI UC™ is the only AI-powered Geboes scoring tool that assists pathologists in accurately and reproducibly measuring Geboes subgrades for histological stage and improvement to enable ulcerative colitis research and clinical trials. PathAI has recently launched updated versions of these tools on the AISight Translational Research platform1. IBD Explore v2.0 includes classification of additional cell types and tissue regions that were not included in prior versions, including macrophages, fibroblasts, and lymphoid aggregates. AIM-HI UC v2.0 now integrates PathAI's pathology universal transformer (PLUTO) foundation model and shows highly accurate performance, as highlighted in poster Su1904 at DDW. Poster Details Title: Consortium-driven Development of Pathology Foundation Model-based Approaches for Automated Scoring of Histopathology in Ulcerative Colitis (Abstract Number Su1904) Session: IBD: Disease Activity Assessment and Monitoring Date and Time: Sunday, May 4, 2025, from 12:30 – 1:30 p.m. PT Presenter: Christina Jayson, Ph.D., Head of Inflammation and Immunology AI Product, PathAI Title: Quantitative Histologic Features of the Inflammatory Microenvironment using Digital Pathology Prior to Adalimumab Treatment Associate with Response in Patients with Ulcerative Colitis (Abstract Number Tu2044) Session: Emerging Tools and Technologies and In Vivo Models of GI Diseases Date and Time: Tuesday, May 6, 2025, from 12:30 – 1:30 p.m. PT Presenter: Christina Jayson, Ph.D., Head of Inflammation and Immunology AI Product, PathAI Follow PathAI on LinkedIn for more updates from DDW 2025. About PathAI PathAI is a leading provider of integrated AI and digital pathology solutions dedicated to transforming diagnostic accuracy and operational efficiency in pathology labs worldwide. Through innovative technologies and strategic partnerships, PathAI aims to enhance patient outcomes and drive the future of medical diagnostics. For more information, please visit Footnote 1AIM-HI UCTM, IBD ExploreTM, and AISight are For Research Use Only. Not for use in diagnostic procedures. Company ContactElizabeth Media ContactDaniel DonatoLifeSci Communicationsddonato@
Associated Press
25-04-2025
- Health
- Associated Press
Precision for Medicine and PathAI Announce Strategic Collaboration to Advance AI-Powered Clinical Trial Services and Biospecimen Products
Collaboration will deliver innovative AI-powered pathology tools and quality control enhancements to accelerate clinical trials and biomarker discovery BOSTON and FREDERICK, Md., April 25, 2025 /PRNewswire/ -- Precision for Medicine, a leading provider of next generation drug development research and services, and PathAI, a global leader in digital pathology, today announced a strategic collaboration to partner on developing novel AI-based technologies and to integrate PathAI's advanced digital pathology and analysis capabilities across Precision for Medicine's clinical trial and biospecimen operations. This collaboration includes use of several PathAI technologies and establishes an agreement to offer novel tools and analytical services that address emerging needs in biomarker discovery, spatial biology, and tissue-based clinical research. Through this collaboration PathAI's tools and services will help augment Precision for Medicine's proprietary pipeline providing biopharma clients with access to imaging workflows offered through Precision for Medicine's integrated laboratory and clinical trial services. 'Together, we're deploying tools that add critical quality control steps to tumor biopsy workflows and apply machine-based learning and unsupervised algorithms early in the development cycle to help identify which biomarkers are most relevant for clinical efficacy,' said Darren Davis, PhD, Senior Vice President Global Digital Pathology, Genomics and Liquid Biopsy Solutions. 'Precision for Medicine's CLIA compliant laboratory enables precise patient stratification and accelerate decision-making in clinical trials, ultimately supporting success in areas of high unmet need.' As part of the agreement, Precision for Medicine will deploy select tools from PathAI, including AISight®, a digital pathology image management system, and other AI-powered algorithms to enhance biospecimen and clinical trial services. These tools will enable the application of validated, algorithm-based quality control steps to biospecimen analysis, improving consistency and data reliability. The collaboration will also support the use of PathAI's leading AI capabilities leveraging best in class machine learning based models to enhance Precision for Medicine multi-modal datasets. The technology reduces large, complex biomarker panels to scalable, and actionable, biomarkers to help interpret complex tissue biology to complement translational research programs. Additionally, the companies will work together to analyze complex tissue biology empowering biopharma clients to understand and identify the right patients for the right therapies, faster. 'At PathAI, our mission is to harness the power of artificial intelligence to improve the accuracy, depth, and efficiency of pathology-driven insights,' said Andy Beck, MD, PhD, Co-founder and CEO of PathAI. 'We are thrilled to collaborate with Precision for Medicine to help advance our mission and deliver differentiated value to our mutual customers.' Precision's collaboration with PathAI brings unique value to biopharma clients by combining these AI tools with proprietary wet lab infrastructure, centralized clinical trial operations, and scientific oversight. The innovative tools generated through this collaboration will only be available through Precision for Medicine's services, providing a level of integration and customization not offered elsewhere in the industry. 'This collaboration enhances how we're using our biospecimen business by enabling deeper, more informative analyses of the tissue samples we provide to our clients,' said Cullen Taylor, MD, Medical Director at Precision for Medicine. 'We're adding an entirely new layer of cellular-level insight on top of already well-annotated sequenced samples, going far beyond what traditional pathology assessments can offer. It's a meaningful step forward in how we support biomarker discovery, enhancing datasets for diagnostic validation and therapeutic development.' About Precision for Medicine Precision for Medicine is the first biomarker-driven clinical research and development services organization supporting life sciences companies in the use of biomarkers essential to targeting patient treatments more precisely and effectively. Precision applies a transformational approach to clinical research that integrates clinical trial design and execution with deep scientific knowledge, laboratory expertise, data sciences and advanced manufacturing solutions. This convergence is driving faster clinical development and approval. Precision for Medicine is part of Precision Medicine Group, with 3,500 people in 40 locations globally across North America, Europe and Asia-Pacific. For more information, visit Contact Andie Lunkenheimer [email protected] About PathAI PathAI is a leading provider of integrated AI and digital pathology solutions dedicated to transforming diagnostic accuracy and operational efficiency in pathology labs worldwide. Through innovative technologies and strategic partnerships, PathAI aims to enhance patient outcomes and drive the future of medical diagnostics. For more information, please visit Contact Owen Blaschak [email protected] Footnote 1AISight is for Research Use Only in the US; AISight Dx is CE-IVDR in Europe and UKCA in UK View original content to download multimedia: SOURCE PRECISION FOR MEDICINE
