Hur skapar vi innovativa, långsiktiga och hållbara satsningar inom det preventiva hälsoarbetet? Det diskuterar bland andra @ECarbonnier, portföljansvarig hos @swelife, i samtalet ”Preventionsmiljard – för att ha råd med vård” Läs mer här: https://t.co/ydTKifFYWn #Folkhälsodalen
@sasforums Look forward to exploring more life science real world problems 🧬that are suitable for #Quantum ⚛️technologies. Thanks for a fun chat everyone! Have a great weekend☀️ #SASchat#Health
@sasforums A5:Starting up #QuantumLifeScience ⚛️🧬and contributing to transforming system in Sweden to invest 1 dollar in HEALTH rather than paying 6 for disease. Wise to use our Quantum Technology resources for staying healthy from a Healthy-Risk-Sick perspective. #SASchat#Health
@sasforums A4: More interdisciplinary teams: quantum physics, AI, life science. E.g. we have initiated a project where we have one PhD student from the quantum physics side @WACQT parallel with a PhD student from the life science side @WCMTM#QuantumLifeScience#SASchat#Health
@sasforums A3: Some estimates (from BCG) point to that Quantum Computing could create up to $850 billion in annual value by 2040. We have to get those qubits in order fast 😅@wacqt #SASchat#Health
@sasforums A2: Quantum sensing for quantum microscopy and quantum spectroscopy. Quantum computing for e.g. protein structure prediction and quantum chemistry (drug development). #QuantumLifeScience#SASchat#Health
@sasforums A1: Quantum computing could be advantageous for a variety of problems in biochemistry and biology. Protein structure prediction is a promising area. This could contribute to our understanding of what makes us sick and how do we stay healthy. #QuantumLifeScience#SASchat#Health
@0xdeadbeef Mycket intressant Mikael. Bra jobbat Cleveland och IBM. Ser fram emot liknande utvecklingssamarbete här i🇸🇪 1000+ qubit quantum system - ja tack! Vi får använda vår Quantum Life Science ⚛️🧬grupp för att facilitera detta. @fixiepop@UlfHertin@mathiasekman
Quantum computers could be a massive technological leap forward, but they’re sensitive to interference — researchers in Finland may have created a solution
@ArthurdeCrook@sasforums Hi Arthur, synthetic data allows for analyzing a pattern without identifying the underlying individuals. The statistical outcomes should be the same compared to the raw data in the origin.