ideagoras.eth
@Ideagoras
Followers
4K
Following
9K
Statuses
8K
Branding in the web3 age
Madrid, Spain
Joined January 2009
RT @Nature: A man who seemed genetically destined to develop Alzheimer’s disease while still young has reached his mid-70s without any cogn…
0
114
0
Bioengineers Create “Smart Cells” That Detect and Fight Disease in Real-Time
0
0
1
RT @javigalvarez: La realidad virtual inmersiva consigue reducir el #dolor y la ansiedad por la vacunación en niños vía @isanidad
https://…
0
1
0
RT @ScienceMagazine: Researchers have developed wireless, printable, optically controllable cardiac tissues. The tissue can modulate card…
0
69
0
RT @etornosinza: Este jueves 13 a las 20:00h CET abriremos de nuevo las puertas del Aula Virtual Sanitaria para revisar junto @evaanyon y @…
0
6
0
Will AI Revolutionize Drug Development? These Are the Root Causes of Drug Failure It Must Address via @singularityhub
0
0
0
RT @EvanKirstel: AR in action! Imposing 2D MRI results on Real Life Patients #himss25 @ZGJR @daniel_kraft @IrmaRaste
0
11
0
Google launches Gemini 2.0 Pro, Flash-Lite and connects reasoning model Flash Thinking to YouTube, Maps and Search via @VentureBeat
0
0
1
Researchers created an open rival to OpenAI’s o1 ‘reasoning’ model for under $50 via @techcrunch
0
0
1
ARK Invest's Big Ideas 2025: A Revolution in Healthcare is Brewing The ARK Invest Big Ideas 2025 report is out, and it's packed with groundbreaking insights into the future of health and medicine! Forget incremental improvements; we're talking about a complete transformation of how we approach healthcare. ARK Invest dives deep into the converging exponential technologies poised to reshape the industry, with a strong emphasis on artificial intelligence. Here's a glimpse at some of the key trends they highlight: Multiomics and Biological Data: The cost of acquiring and analyzing digital biological data is plummeting, fueling the rise of multiomics technologies. These technologies give us unprecedented access to DNA, RNA, and protein data, revolutionizing research and therapy development. Imagine early cancer detection through simple blood tests, leading to more precise diagnoses and personalized treatments. That's the power of multiomics. AI-Powered Drug Discovery: AI tools, fed by the massive influx of multiomics data, are poised to automate lab processes and slash drug development timelines. We're talking about potential reductions of 30-40%! Large Language Models (LLMs) are already streamlining clinical trials, optimizing patient selection, and revealing hidden patterns in results. This accelerates the development of precision therapies, tailored to the unique characteristics of each patient, for rare diseases and chronic conditions. DNA Sequencing and Synthesis Cost Reduction: The dramatic drop in DNA sequencing costs over the past few decades is about to be mirrored by a similar decrease in DNA synthesis costs. This, coupled with device miniaturization and parallel experimentation, is unleashing a biological revolution. Scientists can now conduct larger, more complex experiments, speeding up the development of new gene therapies. Virtual Cell Models: Fueled by AI and single-cell genomics, virtual cell models are opening up new frontiers in biomedical research. The rapidly decreasing cost of single-cell genomics is making these virtual models increasingly accurate. Imagine simulating cell functions and predicting responses to drugs or toxins, all within a computer. By 2028, costs associated with using virtual cells for these types of analyses are expected to decrease by approximately 120 times. Self-Driving Labs (SDLs): Self-driving labs represent the future of biomedical research. These automated labs combine multiomics, robotics, and LLMs to autonomously analyze data, formulate hypotheses, and design experiments. They could identify therapeutic targets, select promising compounds, and optimize experimental protocols with minimal human intervention. This could potentially cut drug development time by up to two years for some diseases! Next-Generation Preclinical Models: Forget traditional, less-than-ideal models. Next-generation preclinical models, like organs-on-chips, use microfluidics, 3D bioprinting, and organoids to recreate complex cellular interactions and drug responses in a more realistic environment. These models are more scalable, enabling high-throughput testing and accelerating the development of new treatments. Integrating these models with AI analysis of patient biopsies will significantly improve drug discovery outcomes. Minimal Residual Disease (MRD) Testing: MRD testing seeks out residual cancer cells after treatment, allowing for earlier detection of cancer recurrence than imaging techniques. Studies have shown that MRD tests can identify recurrence up to 20 months earlier in some types of leukemia. While these tests will be crucial in cancer management, managing the massive data volume they generate will be a major challenge. Universal Multi-Cancer Detection: Liquid biopsies, which analyze tumor biomarkers in the blood, are opening up new possibilities for early cancer detection. Universal multi-cancer detection through liquid biopsies could identify the disease at earlier, more treatable stages. While still in development, this technology is expected to significantly impact the cancer detection market and, more importantly, patients' lives. ARK Invest's Big Ideas 2025 report paints a compelling picture of a healthcare future driven by technological convergence and AI. While challenges undoubtedly lie ahead, the potential to revolutionize disease diagnosis, treatment, and prevention is immense. It's an exciting time to be involved in or simply watching the evolution of healthcare! You can download the full report here:
0
0
1
RT @Molecule_dao: The future of healthcare is decentralized! Dive into the full conversation to know how we could securely onboard millio…
0
5
0
Scientists Develop Artificial Neurons That Mimic Human Perception
0
0
1
RT @evaanyon: El próximo día 20 de Febrero el Aula Virtual Sanitaria participa, de la mano de @etornosinza
@josemiguelcacho y yo misma, en…
0
5
0
AI Creates New Glowing Protein, Simulating 500 Million Years of Evolution
0
0
0