Arden White’s Post

⚕️ Director of Translational Medicines Solutions at Elsevier, shared insights into the promising future of digital twins in medicine... Key Highlights: 🔹Full-Body Simulation: Digital twins could soon simulate the entire human body, offering a groundbreaking tool for medical professionals. 🔹Data Challenges: The realization of this technology depends heavily on acquiring large volumes of high-quality data. 🔹Current Applications: Presently, digital twins are primarily used in specific areas like drug adoption, with focused development on these applications. 🔹Potential Impact: These simulations could revolutionarily impact healthcare by aiding in disease prevention and treatment planning. Read more 👇 How will digital twins redefine our approach to healthcare and medicine? For a deeper dive into digital twins in the medical sector, explore more on our intelligence platform at app.metaverseinsider.tech/ https://lnkd.in/enaz5mQW #DigitalHealth #HealthTech #Innovation

Presenting biomistral-7b-synthetic-ehr: An Advanced LORA Adaptation of BioMistal-7B Data Collections Include: - health_facts - An Artificial Dataset Inspired by MIMIC-IV-Notes (validated) - EHR Public Data Collected and Reformatted - Additional Resources in the Lifescience Sector This model has been comprehensively fine-tuned on a Mac utilizing the MLX framework! 📌 Access the Model Here: in 👇 https://lnkd.in/dxHm4Zsu Collaborations are ongoing with various researchers and medical professionals to incorporate additional specialized datasets in areas of healthcare domain. After evaluating numerous foundational models for fine-tuning, biomistral demonstrated superior performance! **Will write a detailed blog on this!

The rise of Digital Twins in healthcare: A Mapping of the research landscape This paper by jeena joseph and team in Cureus Journal of Medical Science presents a detailed review of the current research landscape into digital twins for healthcare. Through bibliometric analysis, the authors obtained 1,663 publications from 2012 to 2024, basically sourced from the Scopus database, establishing a portion of the trends, productive authors, influential sources, and collaboration networks in this fast-evolving field. Descriptively, their results indicate that although research into this area started way back, the bulk of research began to be realized from 2018 onwards, with appreciable contributions coming in from interdisciplinary fields of artificial intelligence, machine learning, and data analytics. Digital twin technology is undoubtedly a considerable promise for chronic disease management, predictive analytics, drug discovery, and surgical planning. here is the link: https://lnkd.in/eucatdBx The bubbles in the figure below represent the frequency of each term within the specified time frame. The size of each bubble is proportional to the term's frequency. Digital Twin Consortium #healthtech #digitaltwins #digitalhealth

Demonstrating Scalable Integration of Clinical, Translational, and Manufacturing Data to Explore Role of Manufacturing Approach in Driving Health Outcomes #OHDSISocialShowcase #JoinTheJourney Lead: Ben Smith Team: Trent Peterson, Jessica Manzyuk Background: Interest is growing among cell therapy researchers to better understand relationships between manufacturing approaches and patient outcomes. In the past large multi-site research has been difficult to execute due to the significant effort required in linking clinical and manufacturing data sources. Collaborative observational research has benefitted from growing adoption of the Fast Healthcare Interoperability Resources (FHIR) data standard and the Observational Medical Outcomes Partnership (#OMOP) common data model. Efforts to bridge FHIR and OMOP are also simplifying the automation of data acquisition and integration. With the goal of extending similar benefits to research involving cell therapy manufacturing, we decided to explore the feasibility of using OMOP for integrated clinical and manufacturing datasets. Historically, when researchers seek to integrate new types of data within OMOP CDM, an extension to the model is required to accommodate new concepts. Our approach uses only existing OMOP structure, though custom concepts will need to be added for manufacturing variables not yet used by the OHDSI community. https://lnkd.in/eqPKMEDm

Watch episode one: Reshaping clinical research with technology.

Synkriom, 2024 Global Life Sciences Outlook In 2024, the life sciences sector faces a transformative year marked by advancements in genomics, personalized medicine, and AI driven drug discovery. Emerging technologies are revolutionizing how diseases are diagnosed and treated, with a growing emphasis on precision health. Sustainability and ethical considerations are increasingly influencing research and development practices. Collaboration between academia, industry, and regulatory bodies is crucial for navigating complex challenges and accelerating innovation. Global health disparities remain a significant concern, driving efforts to improve accessibility and equity in healthcare. Investment in digital health solutions continues to rise, promising enhanced patient outcomes and streamlined healthcare delivery. 👉 Connect with us: https://bit.ly/3W0YNbZ 📩 contact@synkriom.com #Synkriom #healthcare #medicine #lifesciences #Clinicaltrails #healthtech #drugdiscovery #lifesciencetrends #MedicalTechnology #teamsynkriom #biotechnology #patientcare #machinelearning #digitalteam #drugdevelopment #automation #digitalhealthsolutions #digitalhealth #usa #ai

The life sciences sector is on the verge of a groundbreaking shift with precision medicine at its core. Our Bench International Technology Team (BITT) Advisory Board Member, Jon Warner, explores this revolution in his latest article, "How Precision Medicine Is Likely to Transform Life Sciences." As we enter an era where treatments are tailored to individual genetic, lifestyle, and environmental factors, the potential for personalized therapies and predictive diagnostics is closer than ever. From genomics and AI to real-time health monitoring, the transformation spans drug discovery, healthcare delivery, and patient empowerment. Discover Jon Warner's insights on the future of life sciences here and how precision medicine could improve patient outcomes, accelerate development, and reshape the healthcare system. 🔗 https://lnkd.in/dRcQh72h What are your thoughts? Do you think precision medicine will become the standard in healthcare, or are there challenges that may limit its reach? Drop a comment below – we’d love to hear your perspective! #PrecisionMedicine #LifeSciences #Innovation #BITT #HealthcareRevolution #PersonalizedTherapies #AI #Genomics #FutureofHealthcare #ExecutiveSearch #Leadership #HealthTech #MedTech #DiversityinPharma #Healthcare #Pharmaceuticals #HealthMonitoring #PatientCare

The next few decades will undoubtedly see a profound transformation in the #lifesciences sector, driven by the advancements in #precisionmedicine. This personalized approach to healthcare promises to improve patient outcomes, accelerate drug, bio-technological, and device development, and create a more sustainable and efficient #healthcare system. 

David Constantine (Juniper Biomedical, Pioneer Neurotech) will discuss the various, crucial roles that clinicians can play in the development and commercialization of high impact innovation. Join David during the Efficiency and Productivity Session of the Business Side of Medicine Course. Learn more: https://lnkd.in/dC7-SHuG

Designing Clinical Research Protocols with neuratrial! Some of us have often faced challenges in developing clear, evidence-based protocols, often requiring multiple iterations and amendments. To solve this we trained neuratrial to provide instant, actionable insights on everything from efficacy endpoints, study outcomes, study design, eligibility criteria, regulatory compliance and much more, using vast amount of relevant data and literature. Watch this video to see how neuratrial simplifies complex questions, helping you build faster, smarter, and more compliant protocols, with information and resources at your fingertips. Hopefully we can make weeks of manual research go away and move to a smarter, more efficient future! #AI #ClinicalTrials #ProtocolDevelopment #neuratrial