Proscia’s Post

Have you heard EverLift® Submucosal Lifting Agent does not produce artifacts post EMR/ESD? Laborie’s post-market clinical follow-up study generated significant data that evaluated the pathology results of the effects of endoscopic mucosal resection and endoscopic submucosal dissection. Download the whitepaper to learn more about the key findings: https://hubs.li/Q02DpBTx0 #ForDignityForLife #Laborie

Discover why digital marketing is crucial for Pathology Labs and Diagnostic Centers. 🌐📈  Read more: https://bit.ly/4cO2l9W #DigitalMarketing #PathologyLabs #DiagnosticCenters #HealthcareMarketing #GMBOptimization #SocialMediaMarketing #MedicalMarketing #OnlinePresence

Interested in digital pathology but struggling with implementation? Get the inside scoop on seamless implementation and unlock the full potential of digital at our annual Digital Diagnostic Summit. Don't miss out on this opportunity! Learn more and register here: https://lnkd.in/ggqzxA2x #DigitalPathology #DDXSummit

#Clinical_Trial_Imaging Market Size, Trends, Growth Rate, Analysis Report Upto 2032 >> https://lnkd.in/dfUFqXev #Clinical trial imaging involves the use of various #imaging techniques, such as #MRI, CTs, and PET, to assess and analyze #medical conditions or #treatment outcomes in clinical #trials. These images provide valuable #data for #researchers and clinicians, aiding in the #evaluation of treatment efficacy, #disease progression, and #patient response. IXICO Navitas Life Sciences Resonance Health Ltd ProScan Imaging Radiant Sage Ventures Medpace Biomedical Systems Circle Cardiovascular Imaging Intrinsic Medical Imaging BioTelemetry, Inc. #healthcareindustry #pharmaceuticalindustry #healthcareresearch #biotechnology #trialimaging #clinicalresearch

#AI's role in decoding genomic differences is crucial for understanding & mitigating diseases. Read on to see how this acceleration translates to faster patient treatments, drug discovery, personalized medicine, & automated medical imaging! http://oal.lu/m7LxZ

Pleased to see Source BioScience proudly featuring in Pathology News. 🎉 Have you got a minute to read through? We review how utilising technologies and advancements available now with Source LDPath, could support the current increasing pressures and demands we are experiencing in the healthcare sector. Part of the Source BioScience group, Source LDPath, is providing flexible cellular and digital pathology services to the NHS and Private healthcare. Joining our network, we can explore how we can; - Streamline operations, accelerate diagnoses, and enhance patient care - Quantify cost savings, backlog reductions, and turnaround time improvements with our Health Economic Model - Provide comprehensive support from planning to training, tailored to UK healthcare standards ❔ How would the above help you? Your team? Your budget and KPI goals? Most importantly your patients? Unlock the value of digital pathology for your department and patients today! #DigitalPathology #HealthcareTransformation #histopathology #cellularpathology #pathologist #nhs #patientcare

The use of #machinelearning-based techniques in #drugdiscovery requires large amounts of biomedical information. Fortunately, we have been collecting and collating vast amounts of #biospecimen-associated clinical data for over 30 years. This assures that you have comprehensive data that you can incorporate into your data-driven research workflows. Our database of images and associated clinical records can assist in revealing patterns and relationships relevant to both disease etiology and pathology, and feature: - Board-certified confirmed diagnoses, ensuring digital images are representative of disease states - Aperio full-slide images that integrate into #AI-based image analyses - Over 200 data points, some including patient outcomes - Standardized collection protocols Learn more about our solutions for #artificialintelligence development programs: https://lnkd.in/epnT8SFW

Nanomedicine: Advantages and Disadvantages 🔬 Nanomedicine is revolutionizing medical practice by offering precision, biocompatibility, and the potential for personalized medicine. It’s making strides in diagnostics, regenerative medicine, and controlled drug delivery. 🎯 Key benefits include: Disease Diagnosis: Nanoscale sensors and advancements in imaging are enabling quicker and more accurate disease diagnosis. 🩺 Targeted Therapy and Drug Delivery: Nanomedicine can deliver drugs directly to the targeted site, improving efficacy and reducing side effects. 💊 Remember, the future of medicine is not just about treating symptoms, but about targeting the cause. With nanomedicine, we’re one step closer to that reality. 🌟 #Nanomedicine #HealthcareInnovation #PersonalizedMedicine #DiseaseDiagnosis #TargetedTherapy #DrugDelivery #FutureOfMedicine 🚀

𝐋𝐋𝐌𝐬 𝐟𝐨𝐫 𝐁𝐢𝐨𝐦𝐞𝐝𝐢𝐜𝐢𝐧𝐞 (𝐒𝐮𝐫𝐯𝐞𝐲) This survey paper presents a comprehensive survey of current landscape, applications, challenges, and prospects of LLMs in biomedicine. Presents the capabilities of LLMs in zero-shot learning across a broad spectrum of biomedical tasks, including diagnostic assistance, drug discovery, and personalized medicine. Discusses adaptation strategies of LLMs, including fine-tuning methods for both uni-modal and multi-modal LLMs to enhance their performance in specialized biomedical contexts. Concludes with a discussion of the challenges that LLMs face in the biomedicine domain including data privacy concerns, limited model interpretability etc. #llms #biomedicine #generativeai

This is a fascinating survey on the role of LLMs in Biomedicine! 🧬 It’s amazing to see how large language models (LLMs) are making strides in areas like diagnostic assistance, drug discovery, and personalized medicine. Here are some key points that stand out: Zero-shot Learning: The ability of LLMs to perform tasks without specific training is a game-changer in biomedicine, enabling quicker solutions and broader applications across various medical domains. 🧠 Tailored Fine-tuning: The paper’s discussion on adapting LLMs for uni-modal and multi-modal tasks is crucial, as it allows for fine-tuning models to meet the unique demands of the biomedical field, especially in personalized treatments. 🔍 Challenges and Ethical Considerations: The challenges around data privacy and model interpretability are vital to address. Ensuring these models are both ethical and effective will be key to their adoption in healthcare settings. ⚖️ This survey offers a clear roadmap for how AI and LLMs will continue to revolutionize the field of biomedicine. Exciting times ahead! Thanks again for sharing this valuable work! 🙏 #LLMsInBiomedicine #AIinHealthcare #DrugDiscovery #PersonalizedMedicine #ZeroShotLearning #DataEthics #AIChallenges #HealthcareInnovation