Advancing Personalized Medicine through Molecular Insights🔬 Our scientists at #HelmholtzMunich are pioneering the transformation of personalized therapy development through understanding molecular disease mechanisms. Key advancements include targeted drug discovery, precision medicine using molecular structures, and AI-driven approaches, promising a bright future for personalized medicine. Explore the future of healthcare and the potential of personalized medicine with us! 👉 https://lnkd.in/dDkTh2Ab #PersonalizedMedicine #MolecularBiology #DrugDiscovery #AI Michael Sattler
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Yet another therapeutic option to unfold the molecular mechanisms of Sickle cell disease (SCD), which affects millions worldwide. #MD #simulations have immense use in modern medicine and molecular science. In this recent study, performed MD simulations of normal/sickle human (huHbA/huHbS) and sheep (shHbB/shHbS) Hb, establishing how accurately shHbS mimics huHbS behavior. For further details you can check out the recent paper published in #nature https://lnkd.in/gVeY8ZBm
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Join us on March 6th for the virtual State of Precision Medicine Summit. This groundbreaking event will delve into pharmacogenomics, drug repurposing, artificial intelligence, and transfer RNA across the field of precision medicine, with speakers like Jay Shendure, Professor of Genome Sciences at the University of Washington’s Synthetic Biology Lab. Some session titles from the event include: 🌟Pharmacogenomics and AI - Powering the Future of Precision Medicine 🌟A Single Cell Timelapse of Prenatal Development, from Gastrula to Birth 🌟AI, Repurposing and Rare Disease - Nothing Gets Left On The Shelf 🌟AI and Multimodal Strategies for Therapeutic Success ...and more! Visit our website to register for free, thanks to our sponsor, Asuragen. https://ow.ly/5y0R50QIiUh Don’t miss your chance to be part of this virtual voyage shaping the landscape of precision medicine. #StateofPrecisionMedicine #HealthcareInnovation #LeadershipInHealthcare.
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Discover Our Latest Research Paper Focusing on a Novel PHD Inhibitor for the Treatment of Anemia! This is an important therapeutic area, as more than 10% of the global population suffers from chronic kidney disease. Using Insilico Medicine's Chemistry42 platform, scientists generated a series of molecule candidates. The hit compound -- compound 15 -- demonstrated a favorable in vitro/in vivo ADMET profile, a clean safety profile, and promising PK properties in multiple species and was proven to alleviate anemia in a rat model. To read the paper: https://lnkd.in/eBzndUEh #ResearchPaper #AnemiaTreatment #HealthcareInnovation
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Join us on March 6th for the virtual State of Precision Medicine Summit. This groundbreaking event will delve into pharmacogenomics, drug repurposing, artificial intelligence, and transfer RNA across the field of precision medicine, with speakers like Jay Shendure, Professor of Genome Sciences at the University of Washington’s Synthetic Biology Lab. Some session titles from the event include: 🌟Pharmacogenomics and AI - Powering the Future of Precision Medicine 🌟A Single Cell Timelapse of Prenatal Development, from Gastrula to Birth 🌟AI, Repurposing and Rare Disease - Nothing Gets Left On The Shelf 🌟AI and Multimodal Strategies for Therapeutic Success ...and more! Visit our website to register for free, thanks to our sponsor, Asuragen. https://ow.ly/zWWu50QIiOK Don’t miss your chance to be part of this virtual voyage shaping the landscape of precision medicine. #StateofPrecisionMedicine #HealthcareInnovation #LeadershipInHealthcare.
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🔬 🔍 Exploring New Frontiers: Unveiling the Potential of Cytopathology: Discover the contribution by Diapath - Next to come, in May #Cytopathology is a constantly evolving field that plays a pivotal role in precision medicine and #anatomopathological #diagnosis. It's crucial to redefine its place in the diagnostic context, especially considering the growing importance of precision medicine and targeted therapies. 👩🔬 Discover Diapath’ Commitment to Advancing Cytopathology and #PrecisionMedicine Our goal is to continue contributing to the advancement of this field by offering innovative solutions and supporting scientific research. Stay tuned 📣 💡 JOIN US and discover more, in May. #Cytopathology #PrecisionMedicine #MedicalInnovation #CytoPath
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Associate Professor and Research Scientist in Cardiovascular Health. Primary Focus: Heart Failure. Inventor of Heart Failure Vaccine
Our article in JACC:Basic to Translational Science
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🤗 What a great visit it was! Our speaker and host Lars Zender would like to thank Dr. Steven A. Johnsen on behalf of our Cluster for his time and especially for giving us interesting insights into his #research! 🔬 Steven and his team utilize state of the art next generation #sequencing methodologies and #bioinformatic approaches to identify molecular mechanisms, which can be targeted for improved patient survival. Dr. Johnsen’s research is focused on #epigenetic and transcriptional regulation of cellular identity and #chemotherapeutic responsiveness in #pancreatic ductal #adenocarcinoma.
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📃Scientific paper: Artificial intelligence defines protein-based classification of thyroid nodules Abstract: Determination of malignancy in thyroid nodules remains a major diagnostic challenge. Here we report the feasibility and clinical utility of developing an AI-defined protein-based biomarker panel for diagnostic classification of thyroid nodules: based initially on formalin-fixed paraffin-embedded (FFPE), and further refined for fine-needle aspiration (FNA) tissue specimens of minute amounts which pose technical challenges for other methods. We first developed a neural network model of 19 protein biomarkers based on the proteomes of 1724 FFPE thyroid tissue samples from a retrospective cohort. This classifier achieved over 91% accuracy in the discovery set for classifying malignant thyroid nodules. The classifier was externally validated by blinded analyses in a retrospective cohort of 288 nodules (89% accuracy; FFPE) and a prospective cohort of 294 FNA biopsies (85% accuracy) from twelve independent clinical centers. This study shows that integrating high-throughput proteomics and AI technology in multi-center retrospective and prospective clinical cohorts facilitates precise disease diagnosis which is otherwise difficult to achieve by other methods. Continued on ES/IODE ➡️ https://etcse.fr/V0PR ------- If you find this interesting, feel free to follow, comment and share. We need your help to enhance our visibility, so that our platform continues to serve you.
Artificial intelligence defines protein-based classification of thyroid nodules
ethicseido.com
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„Wir brauchen eine Institution - wo Spitzenforschung eine Verbindung zu den Schulen und der Bevölkerung bekommt.“
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