🧬 Science – June 14, 2026 The Leiden Declaration continues sparking important conversations on responsible AI use in research 📜 while Stanford Life Sciences Symposium insights highlight rapid biotech progress 🧪 New bioengineering tools are transforming drug discovery and personalized medicine. As a bioengineering student, what science breakthrough excites you most right now? Let’s talk 👇 #Science #Biotech #Bioengineering #AIinScience

Which stage do you think AI usage is now in? #aigrowth #aiinscience #aiinmedicine

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🚨 Medical AI Research Alert! 🚨 Can AI agents reliably synthesize scientific conclusions from vast, open-domain web evidence, especially in high-stakes health domains? @Princeton presents 𝗦𝗖𝗜𝗖𝗢𝗡𝗕𝗘𝗡𝗖𝗛 and 𝗦𝗖𝗜𝗖𝗢𝗡𝗛𝗔𝗥𝗡𝗘𝗦𝗦: a large-scale live benchmark and a clean-room evaluation harness for open-domain scientific conclusion synthesis. By @hayounggjung, Pedro Viana Diniz, José Reinaldo Corrêa Roveda, Abner Fernandes da Silva, Haeun Jung, Enoch Tsai, @korolova , @manoelribeiro and team from Princeton University Now you can watch and listen to the latest Medical AI papers daily on our YouTube and Spotify channels! YouTube Explainer: youtu.be/SUinFV4F4-s YouTube Shorts: youtube.com/shorts/6XNVsVWJb… Spotify: open.spotify.com/show/4edRuS… Here's why it's exciting: 👇🧵 1/n #MedicalAI #Healthcare #AIinScience #Benchmark [1/9]

🧬 Science – June 12, 2026 The Leiden Declaration on responsible AI use in mathematics continues sparking discussions 📜 while AI tools drive major progress in biotech and life sciences 🧪 New bioengineering advancements are significantly speeding up drug discovery and personalized medicine. As a bioengineering student, which science area or breakthrough is exciting you the most lately? Let’s talk 👇 #Science #Biotech #Bioengineering #AIinScience #Mathematics

An insightful lecture on “Bridging Chemical Intuition and AI for Accelerated Drug Discovery” was delivered by Prof. Nirav Pravinbhai Bhatt. @CSIR_IND @IndiaDST #DrugDiscovery #ArtificialIntelligence #MedicinalChemistry #AIinScience #ResearchInnovation

Highly accurate protein structure prediction with AlphaFold nature.com/articles/s41586-0… @Nature #OA #OpenAccess paper by John Jumper, Demis Hassabis DeepMind #AlphaFold #ProteinStructure #StructuralBiology #AIinScience #ComputationalBiology #DrugDiscovery

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🧬 Science – June 11, 2026 Ongoing discussions from the Leiden Declaration on responsible AI use in science continue 📜 while biotech and life sciences benefit greatly from AI-powered tools 🧪 New bioengineering advancements are speeding up drug discovery and personalized medicine significantly. As a bioengineering student, which science area or breakthrough is exciting you the most lately? Let’s talk 👇 #Science #Biotech #Bioengineering #AIinScience #Mathematics

Science folks spill the tea on AI: it speeds things up, but it doesn’t magically make better work. A Nature poll of 1,900 researchers reveals a serious case of FOMO. Nearly half feel negative about AI; only about a quarter think it helps science, and 31% say it harms. Yet almost 60% worry they’ll be left behind if they don’t use AI tools. The pressure is real: large-language models promise efficiency, but quality can take a hit—one PhD student used an LLM to pull data from PDFs, but the mistakes kept it from becoming brilliance. Researchers lean toward task-specific tools over hulking generalists like ChatGPT. About 25% use AI daily; 26% weekly; 15% monthly; 34% never. Critics point to misinformation, biased data, and job worries. Irene Kaplow warns that people overestimate AI’s reach and forget its limits. The takeaway: AI is a tool, not a magic wand—use it smartly, or risk being outpaced while the lab pets a stubborn spreadsheet. #AIinScience #AIFOMO #SciTechDrama doi.org/10.1038/d41586-026-0… Created By LastPosty lastposty.com nature.com/articles/d41586-0…

🧬 Anthropic de bugün ikiz bir lansman yaptı: Bugüne kadarki en yetenekli modeli Claude Fable 5 ve sadece sınırlı bir güvenlik/altyapı grubuna sunulan Mythos 5. Aslında ikisi de aynı temel model. Aralarındaki fark, üzerlerindeki güvenlik kısıtlamalarında. Bir araştırmacı gözüyle dikkat çeken teknik detaylar: 1️⃣ Mythos sınıfı Opus’un üstünde yeni bir kademe. Fable 5, test edilen neredeyse tüm yetenek ölçütlerinde en son teknoloji. Görevi ne kadar uzun ve karmaşıksa, diğer modellere üstünlüğü o kadar artıyor. 2️⃣ Bilimde gerçek bir eşik aşılıyor: özgün hipotez üretimi. Mythos 5, tutarlı biçimde yeni ve ikna edici bilimsel hipotez üreten ilk model olarak tanıtılıyor. Bir E. coli proteinine dair önerdiği yeni mekanizma, aynı problem üzerinde bağımsız çalışan bir laboratuvarın bulgusuyla doğrulanmış. 3️⃣ İlaç tasarımında ~10 kat hızlanma. Mythos 5, protein tasarım araçlarıyla insan yardımı olmadan bağlanma bölgesi seçme, araç çalıştırma ve hatalardan toparlanma gibi normalde bir bilim insanının yaptığı işleri yürütmüş. 14 protein hedefinden 9’u güçlü aday ilaç olarak belirlenmiş. 4️⃣ Fable 5 siber güvenlik, biyoloji/kimya konularında bir sınıflandırıcı sistemiyle geliyor. Riskli sorgu yakalandığında model reddetmiyor; yanıtı bir alt model olan Opus 4.8‘e devrediyor ve kullanıcı bilgilendiriliyor. Akademik biyomedikal kullanım için ayrı bir güvenilir erişim programı da açılacak. 👨‍💻 Klinik araştırma metodolojisi açısından en çok düşündüren nokta şu: Bir model artık literatürü özetlemekle kalmıyor, sınanabilir hipotez öneriyor ve bunların bir kısmı deneysel olarak da doğrulanmış durumda. Geldiğimiz nokta, AI destekli araştırma aşamasından AI tarafından yürütülen araştırmalara geçiş. Hipotez kaynağının şeffaflığı, ön-kayıt (preregistration) ve yazarlık/katkı atfı gibi metodolojik soruları ne yapacağımız ise henüz belirsiz. Sizce otonom hipotez üreten bir model, araştırma tasarımında bir hızlandırıcı mı, yoksa kanıt zincirinin şeffaflığı açısından yeni bir denetim yükü mü? Yorumlarda konuşalım. #ClaudeFable5 #YapayZeka #AkademikAraştırma #ClinicalResearch #DrugDiscovery #AIinScience

@Nature This is exactly the kind of AI-driven acceleration Demis Hassabis was talking about earlier today. A whole suite of tools speeding up antibiotic discovery is massive ... and the same playbook is coming hard for brain disorders. My take on Demis/Nobel → Targeted molecules, biomarkers, and individualized therapies for Parkinson’s, Alzheimer’s & more are no longer decades away. Golden age incoming. x.com/Neuroscope_mp/status/2… #AIinScience #PrecisionMedicine

🧬 Science – June 8, 2026 The Leiden Declaration on responsible AI use in mathematics continues generating valuable discussions 📜 while biotech and life sciences research benefits from AI tools 🧪 New bioengineering advancements are dramatically speeding up drug discovery and personalized medicine potential. As a bioengineering student, which science area or breakthrough is exciting you the most lately? Let’s talk 👇 #Science #Biotech #Bioengineering #AIinScience #Mathematics

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🇵🇹 Nova Missão: O Embaixador Goldy mergulha na Ciência Global! 🌊🐾Desta vez, o nosso herói de pelo branco e dourado trocou os céus diplomáticos pela vanguarda da saúde e da biotecnologia. A bordo do seu laboratório subaquático avançado, o Goldy analisa os maiores marcos científicos de 2026: ensaios clínicos revolucionários de deteção precoce, avanços em bioimpressão de órgãos 3D e inteligência artificial ao serviço da medicina. Porque cuidar do mundo também é uma missão de paz! 💙🔬🇬🇧 New Mission: Ambassador Goldy dives into Global Science! 🌊🐾This time, our white and golden fur hero swapped diplomatic skies for the forefront of health and biotechnology. Aboard his advanced deep-sea research laboratory, Goldy is analyzing the greatest scientific milestones of 2026: revolutionary early-detection clinical trials, breakthrough 3D organ bioprinting, and AI at the service of medicine. Because healing the world is also a mission of peace! 💙🔬#AmbassadorGoldy #CatAdventure #SciFiArt #Biotech2026 #FutureMedicine #AIinScience @grok @imagine @LesleyannIrvin1 @Valerie92831962 @wordrefiner @wonderful1s @ReadingIsOurPas @HJamesWrites @MQuigley1963 @Jilliemary @AmordAlma_

Artificial intelligence has reportedly solved a major 80-year-old mathematics problem, a breakthrough that is being seen as a landmark in reasoning. The achievement shows how AI is moving beyond pattern recognition and into deeper problem-solving, with implications for science, research, and the future of human-machine collaboration. #AIBreakthrough #ArtificialIntelligence #80YearChallenge #AIReasoning #FutureOfAI #ResearchRevolution #AITech #AIInScience #ProblemSolvingAI

🔬 Harness the power of AI to solve problems in physics, chemistry, and beyond. IIT Hyderabad's Open to All Teaching initiative presents Machine Learning for Physical Sciences — a rigorous 3-credit course open to students, researchers, postdocs, and faculty across STEM disciplines. Course: Machine Learning for Physical Sciences Faculty: Dr. Sangkha Borah, Department of Physics, IIT Hyderabad Duration: July 27 – November 13, 2026 Schedule: Every Monday and Thursday from 17:30 - 18:55 (1.5 hours) Credits: 3 | Eligibility: B.Tech/B.Sc., Masters, PhD, Postdocs & Faculty/Teachers in STEM Certificate awarded by IIT Hyderabad Prerequisites: Linear Algebra, Calculus, undergraduate Physics, and basic Python programming. Register now: forms.gle/NSi7yF2v7C4wYHrc8 More info: cce.iith.ac.in/Open-to-All-T… #IITHyderabad #MachineLearning #PhysicalSciences #Physics #OpenToAllTeaching #AIinScience #STEM #ResearchCommunity #Postdoc #PhDResearch #IITH #LearnFromIIT #JulySemester2026 @EduMinOfIndia @paniitindia @paniit_usa @PanIIT1

Lodestar by MoleculeAI automates your entire MD Simulation & RBFE workflow — from protein prep to ΔΔG calculations — in one seamless platform. Less setup. More science. ⚗️ #DrugDiscovery #RBFE #MolecularDynamics #MoleculeAI #Lodestar #ComputationalChemistry #AIinScience

Only 1 in 100 microbes can be cultured in the lab, AI reads the rest. Join global experts in Riyadh for the 2nd International Metagenome & Microbiome Conference (2IMMC) on 12–13 October 2026, exploring how metagenomics and AI are reshaping our understanding of microbial life across soil, water, and air. #2IMMC #Metagenomics #Microbiome #AIinScience #Bioinformatics #Genomics #ResearchInnovation #Riyadh #ScientificConference

🚀 Ever had a brilliant but messy research idea in medicine? “I want to study lupus single-cell work” sounds cool… but it’s not yet a real scientific question. That’s exactly what AIPOCH’s Clinical Question Clarifier fixes in seconds. It: ✅ Detects the true question type (mechanism? diagnosis? prognosis?) ✅ Chooses the right framework (and explains why PICO would distort it) ✅ Delivers crystal-clear versions: plain English, research-ready, and PubMed-optimized Watch it transform a vague lupus idea into a precise, searchable scRNA-seq question on immune cell heterogeneity in SLE. Science moves faster when your question is sharp. 💡 Try it → aipoch.com #MedicalResearch #AIinScience #ClinicalResearch #scRNAseq #LupusResearch