Yury Rusinovich的动态

AI for Good in Healthcare Predicting Outcomes, Protecting Privacy. Discover this project that uses machine learning (computer vision & MobileNetV2 model) to analyze medical images (angiograms) for improved PAD patient outcomes (ie. artery and veins pictures analysis) it comes with significantly high accuracy and local processing for data privacy using TensorFlow.js #AIinHealthcare #MachineLearning #ComputerVision #PAD #DataPrivacy #Innovation #WebAI

??Penn State researchers have developed color-coded X-rays that enhance early disease detection by marking key proteins in osteoarthritis. ??Read more: https://bit.ly/3AphdhE ??This innovative technology can reveal the progression of joint disease like never before, giving doctors a clearer picture of wear-and-tear conditions. Credit: Advanced Science #MedicalImaging #Osteoarthritis #HealthTech #Xray #PennState #Innovation #meded #eMedNews

As we mark #ParkinsonsAwarenessMonth, we are proud to share significant progress in our a-synuclein PET tracer program, bringing us closer to an imaging agent for the diagnosis of Parkinson’s Disease. ACI-12589 has proven specific and selective for a-syn, enabling us to visualize a-syn pathology in humans for the first time—a game changer for diagnosing multiple system atrophy and a leap towards #PrecisionMedicine. As we continue this journey, we are further leveraging our Morphomer platform to develop an imaging agent specifically optimized for #ParkinsonsDisease. Promising candidates such as ACI-15916 effectively bind to both large and smaller a-synuclein aggregates – crucial for detecting toxic proteins associated with Parkinson’s. The next-generation #asyn-PET tracer for PD is a critical step towards understanding and treating these complex diseases, much like how Abeta-PET has propelled Alzheimer’s clinical development. We are paving new paths in PD & MSA research, bringing hope to those affected by Parkinson's and MSA. For more details on our efforts to deliver the first PD tracer, watch Francesca Capotosti’s full presentation here: https://lnkd.in/gr6T5qK8 #ParkinsonsAwareness #NeurodegenerativeDiseases?

?? Making Medical Test Results More Understandable Did you know many patients struggle to interpret their medical test results, leading to unnecessary stress? A recent study in JAMA shows how patient-centered pathology reports can improve understanding and reduce worry. ?? ?? Key findings: Only 39% of participants could identify a cancer diagnosis from standard reports. A whopping 93% succeeded with patient-friendly reports! Worry levels aligned better with actual risk when reports were simplified. This highlights the importance of clear, jargon-free communication in healthcare. Hospitals are encouraged to include patient-centered reports alongside standard ones. ???? #PatientCare #HealthLiteracy #MedicalInnovation

Every slide tells a story. About two years ago, Johns Hopkins Health System clinicians began digitizing patient slides as a matter of routine and storing the information in patients’ electronic medical records. “This will give us a sense of what the tissue looked like in thousands of different patients with the same disease,” says #pathologist Ashley Kiemen, allowing clinicians to better diagnose cancers in their earliest stages, and researchers to gain understanding of how these cancerous cells behave. https://bit.ly/4f1Hi4z

Thrilled to see UAB’s latest innovation in healthcare! The new?Body Check?startup is using AI to detect cardiovascular diseases like cardiomegaly, making diagnoses more accurate and consistent. This is a huge step forward in ensuring high-risk patients get the care they need. https://lnkd.in/gp9-un86

We are thrilled to introduce the Insight II Thoracoscopy System—powered by cutting-edge hardware and software technologies, offering a high-quality imaging solution for chest physicians and pulmonologists. With its patented fibre-less technology, the system delivers bright, true-colour imaging, enabling early and accurate diagnosis, as well as efficient treatment of respiratory diseases, including certain types of cancer. More details on the innovation can be found on our website here:: https://lnkd.in/g3_tMfFg #Thoracoscopy #Pleaurascopy #RespiratoryCare #Pulmonology #MedicalInnovation #EarlyDiagnosis #CancerCare #TrueColourImaging #InsightII #OttomedEndoscopy #Endoscopy #Healthcare

?? Cleerly Secures $106M to Revolutionize Heart Disease Diagnosis Cleerly, the trailblazer in #AI-powered cardiac care, has raised a monumental $106 million to advance its innovative heart disease diagnosis tools. By leveraging cutting-edge AI, Cleerly transforms traditional cardiac diagnostics into precise, personalized insights, aiming to detect and prevent heart disease more effectively. #HeartHealth #AIinHealthcare #Innovation https://lnkd.in/duiA88_3

?? Revolutionizing Tissue Health Assessment with Advanced Perfusion Technology ?? In our latest video, Professor Kim Mouridsen takes a deep dive into the evolving understanding of tissue health and the critical role of blood flow distribution in determining clinical outcomes. ??? ?? Watch now: https://lnkd.in/d2wzN_Vi It's no longer just about having sufficient blood flow – how red blood cells are distributed within the capillaries can make all the difference between healthy tissue and ischemia. At Cercare Medical, we’re leading the way with high-resolution maps of microvascular flow, providing groundbreaking insights for clinicians managing: ?? Tumor growth assessment? ?? Ischemic stroke patients? ?? Neurodegenerative diseases Learn how our advanced perfusion technology can enhance clinical workflows and contribute to improved patient management. #HealthcareInnovation #PerfusionRevolution #MedicalImaging #StrokeCare #NeurodegenerativeDiseases #TumorAssessment #CercareMedical??

?? Revolutionizing Kidney Health: Automated MR Elastography Detects Early-Stage Chronic Kidney Disease! ?? A groundbreaking study has unveiled an innovative imaging technique that enhances the assessment of kidney health for patients with chronic kidney disease (CKD). By integrating multifrequency magnetic resonance elastography (mMRE) with an automatic segmentation process, researchers have significantly improved the accuracy and efficiency of detecting renal stiffness associated with CKD stages. ?? Key Highlights: - Involving 179 participants, this study utilized a 3 Tesla MRI machine to capture detailed kidney images. - The automatic segmentation powered by nnU-Net deep-learning network achieved impressive concordance with manual methods. - Strong correlations between shear wave speed (SWS) values and estimated glomerular filtration rate (eGFR) indicate reliable indicators of kidney function. This innovative approach not only streamlines diagnostics but also allows for timely interventions, improving patient outcomes. The integration of AI in medical imaging is setting a new standard in chronic disease management! ?? Click the link to learn more about this transformative advancement in healthcare! #AIinMedicine #ChronicKidneyDisease #ClinicalResearches #InnovationInHealthcare #KidneyHealth #MedicalImaging #Publications #RegulatoryAgencies #MarketAccess #MarketAccessToday