Zekun Jiang

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Zekun Jiang

Zekun Jiang

@zekun_jiang

Medical Imaging, Biomedical Signals, Digital Medicine, and Trustworthy Multimodal Medical AI. @IHuaXi & @Radiology_AI #TEB

Chengdu, China Katılım Ağustos 2020
798 Takip Edilen331 Takipçiler
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West China Hospital
Can we inherit resilience? 🌱 A breakthrough study in @eBioMedicine by prof. Song's team at West China Hospital reveals a novel genetic locus (rs2743239) linked to educational resilience after Childhood Adversity (ACEs)! Moving from trauma to triumph. 🧬✨ #Genetics #MentalHealth
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npj Digital Medicine
npj Digital Medicine@npjDigitalMed·
Blood clots are preventable. YET, risk can change dramatically as treatment progresses. This study developed a transformer-based model that dynamically predicts venous thromboembolism risk across the first year of cancer treatment using longitudinal EHR data from more than 80,000 patients. Should predictive models in medicine become dynamic by default rather than relying on one-time risk assessment? nature.com/articles/s4174…
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Nagaraj Balasubramanian
Nagaraj Balasubramanian@AdhesionLab·
This was a long but valuable read. While some are familiar points, it offers many interesting insights. Take some time and read. "Philosophy of biology has the potential to contribute to biology by improving scientific reasoning. However, this potential is largely unrealized because of most biologists' lack of awareness of what philosophy can offer, because of deficits in biological expertise among most philosophers, and because of adherence to disciplinary norms in philosophy that render much work in philosophy of biology irrelevant to biologists. We believe that the philosophy of biology will contribute little to biology without a change of practice. We provide guidelines on how biologists can better engage with philosophy and how philosophers can better engage with biology to create a “philosophical biology” that improves our biological understanding." academic.oup.com/bioscience/art…
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Machine Learning for Biomedical Imaging
🚨 New publication alert: 📢 “Biophysics-Enhanced Neural Representations for Patient-Specific Respiratory Motion Modeling.” 🖊️ J Boysen, H Uzunova, H Handels, J Ehrhardt. ⬇️
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RSNA
RSNA@RSNA·
Discover the latest innovations and enhance your career with world-class education and networking opportunities. Save the date for #RSNA26, Nov. 29-Dec. 3 and start planning your trip today. Registration opens in late July—stay tuned for details. rsna.org/annual-meeting
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nature
nature@Nature·
Nature research paper: Multiplexed magnetic resonance imaging go.nature.com/42h5lbX
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nature
nature@Nature·
There's a growing concern that AI tools used to help produce innovative drugs could also make it easier to create new threats go.nature.com/42segY7
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Stanford HAI
Stanford HAI@StanfordHAI·
AI is being deployed across organizations at unprecedented speed. We have limited empirical understanding of its actual effects on how people work together. @StanfordHAI just launched the AI and Organizations Lab to change that: hai.stanford.edu/news/stanford-…
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nature
nature@Nature·
Even under anaesthesia, the human brain can still receive stimuli and actively process those signals go.nature.com/4eA9crZ
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nature
nature@Nature·
An audit of 2.5 million academic papers has identified nearly 3,000 biomedical-science papers that contain fake references. go.nature.com/3QWCBmi
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Shiyi Zoe Du
Shiyi Zoe Du@zzzoooeee321·
Spent some time updating my Awesome-Science-Agents repo, a curated list of papers on LLM agents for scientific discovery. The pace in this space is honestly wild. A year ago “AI Scientist” felt like a bold experiment. Now we have: → Kosmos (FutureHouse) doing ~6 months of PhD-level work in a single 12-hour run → Virtual Lab (Stanford, Nature 2025) designing 92 SARS-CoV-2 nanobodies, with several validated in the wet lab → AI co-scientist (Google) replicating a decade of unpublished antimicrobial resistance research in days → MARS (Matter 2026) closing the loop with robots for autonomous materials discovery → AI Scientist-v2 (Sakana) producing the first AI-generated paper to pass peer review Also worth reading the more sobering “Why LLMs Aren’t Scientists Yet” (Jan 2026) - 3 out of 4 autonomous research attempts failed. The honeymoon is ending; the hard problems are showing up. The repo now spans ~70 papers across general science agents, benchmarks, physical sciences, life sciences, and social sciences - from 2020 to early 2026. If you’re working on something in this space - a paper, tool, benchmark, or project - I’d love to hear about it. Feel free to reach out or open a PR; I’d be happy to keep expanding the list and hopefully make it useful for more people in the community 🙌 🔗github.com/zoedsy/awesome… #AIScientists #LLM #Agents #ScientificDiscovery
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