Panel of National Pathology Leaders’ Post

Please see below for insights on my recent presentation to the Panel of National Pathology Leaders' Practice Leadership Council. #departmentfunds #pathologyleaders #digitalpathology

As we wrap up from this year’s #PathologyVisions conference, our team left with a sense of tempered optimism, acknowledging the progress made while keeping an eye on the hurdles that lie ahead. Below are Katie Maloney and Tina Wang's top takeaways from the event. Additional topics of interest included reimbursement, interoperability, and scalability, all underscoring the complexity of driving impactful adoption in digital pathology. Pathology Visions gave us valuable insights and reinforced our commitment to advancing this field. Excited to see where we’ll be next year! Learn more about our latest Digital Pathology Market Report here: https://lnkd.in/dxxw_hTt #DigitalPathology #PathVisions24 #Innovation

#AMP2024 mega-themes; #Bioinformatics / #Data #Interpretation challenges remain, #Reimbursment for #NGS is poor, Revenue Cycle Management #RCM solutions are needed, Integrating #Genomic data and #Interoperabilty of #RWD and #MRD solutions are lacking, #IVD #RUO #FDA #LDT questions remain. #Decbio Megan Nacar Tina Wang takes below are recommended reading and we appreciate them for their contributions to improving patient care. Velsera

According to a new KLAS report, nearly 20% of healthcare organizations in the US have implemented artificial intelligence in their workflows, and over half are preparing to adopt it soon. Larger organizations lead in AI adoption, with 42% already using it, while smaller and midsize groups are poised to implement AI within the next year. Radiology dominates AI use, comprising over 70% of the 950 FDA-cleared AI applications as of August 2024. Other popular applications include tools for stroke detection, breast cancer CAD, lung nodule detection, and automated report generation.

We love that Inside Precision Medicine highlights the human element of our technology. We believe the power of AI in healthcare is supercharging clinicians and removing administrative burdens so that patients stay at the center of everything they do. The Realyze Intelligence platform brings critical information right to the fingertips of clinicians at the time of care, enabling informed decision-making and better patient outcomes. “We respect the sacred space with a clinical research specialist, a PI, or a treating physician in that conversation with a patient that needs to happen about research as care,” shares Kathryn Doornbos, Realyze's Director of Clincial Partnerships, “We’re not trying to automate any of that. We’re just trying to empower everyone to have the most information quickly so that if that patient is a good match, they’re not overlooked, and they don’t get another cycle of therapy that disqualifies them or anything like that before they have the opportunity to know that that’s an option.” Find the link to the full article in the comments -> #ClinicalTrialsForAll #AIOncology #AIinPrecisionOncology #RealyzeIntelligence #CancerX #CancerInnovation #RealyzeIntelligence

In the rapidly evolving field of neuroimaging, harmonising data across diverse platforms and technologies presents a significant challenge. Our upcoming webinar addresses this critical issue, offering a comprehensive solution to streamline imaging processes and enhance data consistency.   Join us as we delve into the complexities of imaging harmonisation, guided by our experts who will share their insights and strategies that will help you make the complex, understandable. Webinar Details: 📅 Date: December 3rd, 2024  🕓 Time: 3pm GMT / 4pm CET / 10am EST 🎙️ Speakers: 🧠Niccolo Fuin, Senior Biomarker Scientist - IXICO  🧠Helen Crawford, Head of Image Management - IXICO  Register Here: https://lnkd.in/e5dXSUiJ   Our webinar will cover: ▶️ Understanding the fundamental challenges of imaging harmonisation. ▶️ Exploring innovative solutions to integrate diverse imaging data. ▶️ Learning best practices for maintaining data integrity and accuracy ▶️ Gaining insights into the latest technological advancements in imaging. Don't miss this opportunity to engage with our experts, gain valuable insights, and have your questions answered. If you have questions about the upcoming webinar that you want us to think about answering, let us know by dropping us a message If you can't make it to the webinar but want the recording, register anyway so we can send it to your inbox after the webinar has concluded. Lastly, please forward this to someone you think might benefit from this webinar. See you December 3rd!

Great episode with Andre Esteva, PhD of ArteraAI now out!

With a proven track record of transforming clinical trial imaging data and workflows, Fractals guest Jeffrey Sorenson knows what it takes to eliminate delays and accelerate results in the life sciences industry. As the co-founder and CEO of Yunu, Jeff collaborates with life science companies and cancer centers to revolutionize clinical trials, achieving faster time-to-market for sponsors and CROs. Join Jeff and host Colin Miller, PhD, FIPEM, CSci for a conversation on the world of medical imaging, including: • Automating AI in clinical imaging to alleviate staffing shortages and redirect focus to patient care, • Emphasizing the value of integrated workflows and comprehensive data management for effective success stories in healthcare, particularly in medical imaging applications, • Prioritizing integrated troubleshooting over straightforward product development to ensure continuous innovation, and, • Leveraging multimodal clinical data to unlock new potential across clinical trials, decision support, and beyond. Listen to the episode now: https://lnkd.in/eYMVpKkX #FractalsLifeScienceConversations #MedicalImaging #ImagingSolutions #ClinicalTrials #AIAutomation #PatientCare #LifeSci

https://lnkd.in/gv_DGgj5 Feels like a good time to talk about new things and an exciting and exponential future, but rooted in validation and data we can already appreciate. Here is one for us at Insight- backing Pictor Labs. Deep technology moats against a specific opportunity with huge implications for research and care.