Exploration of Targeted Anti-tumor Therapy’s Post

Here's a catchy LinkedIn post to share with your network: 🚀 Dive into the future of oncology with us! 🌟Join our community to uncover groundbreaking research and share insights. 💡Collaborate on the latest innovations and make a difference in cancer care. 💕 Your contributions are valued and indexed in #PubMed, #Scopus, and #GoogleScholar—with no #APCs! Join the conversation and let's move oncology forward together. #Oncology #Cancer

🆕 Just Released: 𝗔𝗱𝘃𝗮𝗻𝗰𝗲𝗱 𝗛𝗲𝗮𝗹𝘁𝗵 𝗘𝗰𝗼𝗻𝗼𝗺𝗶𝗰 𝗠𝗼𝗱𝗲𝗹𝗶𝗻𝗴 𝗳𝗼𝗿 𝗢𝗻𝗰𝗼𝗹𝗼𝗴𝘆 - 𝗨𝘀𝗲 𝗖𝗮𝘀𝗲 📊 Aiming to improve value assessment for novel CDK4/6 inhibitors in HR+/HER2- metastatic breast cancer? Our new use case demonstrates how integrating partial survival states and RWE can modernize health economic modeling. Learn how this unique approach: 🔬 Improves model accuracy through Bayesian methods and machine learning algorithms 🧠 Improves decision-making with multi-state modeling and time-varying transition probabilities 💼 Optimizes resource allocation via probabilistic sensitivity analysis and value of information techniques Key technical features: • Latent class analysis for defining partial survival states • Flexible parametric survival models (e.g., Royston-Parmar) for long-term extrapolation • Propensity score matching for confounding adjustment in RWE 𝗚𝗲𝘁 𝘁𝗵𝗲 𝗳𝘂𝗹𝗹 𝗱𝗲𝘁𝗮𝗶𝗹𝘀 𝗶𝗻 𝗼𝘂𝗿 𝘂𝘀𝗲 𝗰𝗮𝘀𝗲! 📥 Download now: https://lnkd.in/g9ARjKHJ #HealthEconomicModeling #Oncology #RWE #BayesianModeling #MachineLearning #MaxisClinicalSciences

Designing Multi-Tasking #Drugs! 💊 Scientists from UC San Diego developed #POLYGON, a groundbreaking approach using generative reinforcement learning to design polypharmacology drugs that inhibit multiple proteins. With 82.5% accuracy, it generates novel compounds targeting pairs of co-dependent proteins. POLYGON paves the way for more powerful treatments in areas like cancer. Quick Read: https://lnkd.in/gjXvi8Mw #bioinformatics #drugdiscovery #cancer #polypharmacology #ai #generativemodeling #sciencenews

🚀 𝐁𝐫𝐞𝐚𝐤𝐭𝐡𝐫𝐨𝐮𝐠𝐡 𝐀𝐥𝐞𝐫𝐭: 𝐍𝐚𝐧𝐨𝐫𝐨𝐛𝐨𝐭𝐬 𝐓𝐚𝐫𝐠𝐞𝐭𝐢𝐧𝐠 𝐂𝐚𝐧𝐜𝐞𝐫 𝐟𝐫𝐨𝐦 𝐭𝐡𝐞 𝐈𝐧𝐬𝐢𝐝𝐞 𝐎𝐮𝐭! 🧬 𝐈𝐦𝐚𝐠𝐢𝐧𝐞 𝐭𝐡𝐢𝐬: 𝐬𝐜𝐢𝐞𝐧𝐭𝐢𝐬𝐭s at Karolinska Institutet have created nanobots using DNA origami that seek and destroy cancer cells from within! 🎯 Here’s what makes this a game-changer: 🔹 𝐏𝐫𝐞𝐜𝐢𝐬𝐢𝐨𝐧 𝐓𝐚𝐫𝐠𝐞𝐭𝐢𝐧𝐠: 𝐓𝐡𝐞𝐬𝐞 𝐧𝐚𝐧𝐨𝐛𝐨𝐭𝐬 𝐚𝐜𝐭𝐢𝐯𝐚𝐭𝐞 𝐨𝐧𝐥𝐲 𝐢𝐧 𝐭𝐡𝐞 𝐚𝐜𝐢𝐝𝐢𝐜 𝐞𝐧𝐯𝐢𝐫𝐨𝐧𝐦𝐞𝐧𝐭 𝐨𝐟 𝐭𝐮𝐦𝐨𝐫𝐬, 𝐥𝐞𝐚𝐯ing healthy cells unharmed 🌱—a major upgrade over traditional treatments. 🔹 𝐔𝐧𝐩𝐫𝐞𝐜𝐞𝐝𝐞𝐧𝐭𝐞𝐝 𝐑𝐞𝐬𝐮𝐥𝐭𝐬: 𝐈𝐧 𝐭𝐫𝐢𝐚𝐥𝐬 𝐰𝐢𝐭𝐡 𝐛𝐫𝐞𝐚𝐬𝐭 𝐜𝐚𝐧𝐜𝐞𝐫 𝐢𝐧 𝐦𝐢𝐜𝐞, 𝐭𝐡𝐞𝐲 𝐬𝐥𝐚𝐬𝐡𝐞𝐝 𝐭𝐮𝐦𝐨𝐫 𝐠𝐫𝐨𝐰𝐭𝐡 𝐛𝐲 70%! 💥 🔹 𝐑𝐢𝐬𝐢𝐧𝐠 𝐓𝐫𝐞𝐧𝐝: 𝐍𝐚𝐧𝐨technology in medicine is expected to grow 22% annually, fueling hope for safer, more effective treatments. Kudos to the brilliant minds behind this groundbreaking advance! 🙌 "Credits: 🌟 All write-up is done by me(P.S.Mahesh) after indepth research. All rights and credits for the video/visual presented are reserved for their respective owners. 📚 For attribution or content removal requests, please contact me. 📩

Could #cancer drugs be more precise and more predictable? In collaboration with Emma Lundberg and Stanford University, we're developing an analysis engine capable of picking up on small but crucial changes in the tumor microenvironment, whether spatial, proteomic or metabolic. This understanding can ultimately lead to more informed predictions about how those tumors will respond to potential therapies. https://bit.ly/3Z5Ue4C #speedoflife #AI

✨ A Game-Changer in Cancer Treatment! ✨ Scientists from India and Australia have collaborated to develop a revolutionary gold-based drug capsule that has demonstrated the ability to reduce tumor growth by an impressive 82%! 🧬💊 This breakthrough represents a major leap in the fight against cancer, blending cutting-edge nanotechnology with oncology research to pave the way for more effective and targeted therapies. 🌍🤝 🔬 Innovations like this remind us of the immense potential of global collaboration in addressing some of the world’s most pressing health challenges. The fusion of expertise, resources, and determination knows no boundaries when it comes to saving lives. Let’s celebrate this incredible achievement and continue supporting advancements that bring hope to millions worldwide! 🌟 #CancerResearch #GoldBasedTherapies #GlobalInnovation #HealthcareBreakthroughs #Collaboration #ScienceMatters

#AI in #Oncology: #Innovations and the #Future Modern AI tools have secured a prominent place in oncology. Their use in diagnosis and treatment is no longer surprising. We are living in an era of innovation. A notable trend this year is the emergence of several new projects in experimental oncology and drug development. There is immense potential in this area. For example, one project is developing drugs based on small molecules using the mechanisms of biological drugs. In September, we are hosting a major oncology event in Moscow https://forum-forlife.ru featuring an exciting session on AI in medicine and science. Date: 19.09.2024. We invite speakers and participants to join this event. #Oncology #AI #Innovations #Drugs #ExperimentalOncology #Medicine #Science #Moscow2024 #Conference #ForLife

#HighlyCitedPapers 📝 The Paracaspase MALT1 in Cancer — Solsona, Schulze-Osthoff and Hailfinger. In this paper, the authors aimed to review the molecular features of MALT1 activation and function as well as the therapeutic potential of MALT1 inhibition in hematological malignancies and solid #tumors. Full text is available 👇 https://lnkd.in/dnmPpyca #medicine #health #research #science

🔬 Exosomes and Immune Cell Exhaustion 🔬 Emerging research suggests exosomes might transfer exhaustion features from exhausted to non-exhausted cells, an insight that could reshape immune resilience in cancer therapy. However, challenges remain: Isolating exosomes with high purity is complex and impacts scalability, so advanced separation technologies like microfluidic devices may improve isolation efficiency for industrial applications. In addition, ensuring the functional consistency of exosomes in therapy remains difficult. Addressing these could pave the way for exosome-based solutions in immunotherapy. read more here: https://lnkd.in/ead4TZTt BPGbio, Inc. Ali Divan, Ph.D. Vesiculab RoosterBio Inc. #ImmunoOncology #Exosomes #CellTherapy #CancerResearch #LifeSciences #Innovation

Shareable artificial intelligence to extract cancer outcomes from electronic health records for precision oncology research - Nature.com: Shareable artificial intelligence to extract cancer outcomes from electronic health records for precision oncology research  Nature.com http://dlvr.it/TG7pDY #ai #artificialintelligence