3 ms·
Alibaba open-sources AI model that can detect cancer and nearly 150 conditions
- cyanydeez 13d ago[flagged]
- netsharc 13d agoIn communism, man exploits man. In capitalism, it's the other way around.
- fragmede 13d agoFortunately, we now have AI to come along and launder the responsibility for exploitation through.
- reilly3000 13d agoNow we have AI exploiting us. Look at us race to digitize everything and feed it into ever rising oceans of context, to build infrastructure for its rapid expansion, confident that we can’t stop because we can’t all stop; we’re just humans. All we have to do is stop. And we can’t. That will end up not in our extinction, but in our ever increasing subjugation, both of freedoms and spirit.
- hgoel 13d agoNope, still just humans exploiting humans.
- Bolwin 13d agoAlibaba is entirely capitalistic I'm afraid
- K0balt 13d agoAnyone know how many parameters?
- anon373839 12d agoThe model weights are only ~5GB, so this is small.
- UnboundedContex 12d agoApprox ~131 million total. Made up of estimated: 102M - modified BERT-base-Chinese text encoder 26M - 3D U-Net-style vision/anatomy encoder 2.8M - projection layers, anatomy-specific projections, query tokens and attention layer Written to run on something like an H100 though- as the CT Scan data is quite large.
- westurner 13d agoScholarlyArticle: "Large-scale AI-guided liver malignancy diagnosis: multicenter study and a single-arm trial" (2026) Nature Medicine https://www.nature.com/articles/s41591-026-04589-y https://www.nature.com/articles/s41591-026-04589-y Source: https://github.com/alibaba-damo-academy/damo-radar https://github.com/alibaba-damo-academy/damo-radar Model: https://huggingface.co/radar-generalist https://huggingface.co/radar-generalist
- westurner 12d agoFrom https://news.ycombinator.com/item?id=44693991 https://news.ycombinator.com/item?id=44693991 : > EPS3.9 also had significant anti-tumor effects in the mice with liver cancer and activated anti-tumor immune responses “A Novel Exopolysaccharide, Highly Prevalent in Marine Spongiibacter, Triggers Pyroptosis to Exhibit Potent Anticancer Effects” (2025) DOI: 10.1096/fj.202500412R https://faseb.onlinelibrary.wiley.com/doi/10.1096/fj.202500412R https://faseb.onlinelibrary.wiley.com/doi/10.1096/fj.2025004... "A Gemma model helped discover a new potential cancer therapy pathway" https://news.ycombinator.com/item?id=45604231 https://news.ycombinator.com/item?id=45604231 : > eCPMV VNPs + EPS3.9 + [...] "Scientists are discovering a powerful new way to prevent cancer" https://news.ycombinator.com/item?id=45474404 https://news.ycombinator.com/item?id=45474404 Notes re: Kidneys not Livers: https://news.ycombinator.com/item?id=47460486 https://news.ycombinator.com/item?id=47460486 ; gh/topic/healthcare-ai
- ElProlactin 12d ago[flagged]
- pixel_popping 12d ago[flagged]
- jkkola 12d ago[flagged]
- vrighter 12d agoyou hit the nail right on the head!
- t0bia_s 12d agoI'm wonder when there will be model for predict future. Could be named "Crystal bAill"
- plaidfuji 12d agoIt is 2026. How are we still publishing articles on medical diagnostics data science and using area under the ROC curve as the primary metric of success. ROC-AUC of 0.9 under severe class imbalance (almost always the case in diagnostics) could still mean something like 4/5 predicted diagnoses are wrong (false positives). Precision-Recall curve + mAP or GTFO. Science article in question: https://www.science.org/doi/abs/10.1126/science.aec6129 https://www.science.org/doi/abs/10.1126/science.aec6129 Also, the most interesting result here is that the CNN-based feature encoder significantly outperformed a vision transformer encoder backbone…
- chrisjj 12d ago> How are we still publishing articles on medical diagnostics data science and using area under the ROC curve as the primary metric of success. Waste avoidance. Bullsh*t is more than sufficient to convince an AI-gulled target audience.
- steve-atx-7600 12d agoTeaching students how to interpret evidence must be way undervalued still. I went to one of the top CS schools 20 years ago and you could get a degree without even taking a single probability or stats class of any kind.
- Zaraif13 12d agoI don't agree with the flak Chinese labs get. If it's really that easy to distill and compete with frontier models, why aren't other countries anywhere near this AI race?
- felixgallo 12d agoBecause distillation is a friendly term for industrial espionage, and most other countries are not willing to become international pariahs in the eyes of the west.
- yogthos 12d agomeanwhile in the real world https://www.science.org/content/article/china-tops-world-artificial-intelligence-publications-database-analysis-reveals https://www.science.org/content/article/china-tops-world-art...
- felixgallo 11d agoboth things can be true. China's gearing up, but they also try to make progress by aggressively distilling Anthropic and OpenAI models, and this is currently where most of their progress comes from.
- yogthos 11d agoPeople really need to stop parroting this line uncritically. The process takes time because even when you're distilling answers, you still need to actually do reinforcement training on the model. And given that Fable and GPT 5.6 just came out there simply hasn't been much time to do that. However, models like Kimi also do better than Fable or GPT on a lot of tasks, which means it's not just distillation but also difference in architecture. You can watch this talk from Kimi founder to see how Kimi was actually trained and why it performs well. https://www.youtube.com/watch?v=5CkCW1P-g88 https://www.youtube.com/watch?v=5CkCW1P-g88 It's also absolutely hilarious that people think only Chinese companies use distillation, as if Anthropic or OpenAI are above that or something. Not to mention that they basically ignored copyrights on all the data the siphoned and are now crying that people aren't respecting their terms of use. Chinese labs have come up with a bunch of genuine innovations: GRPO, auxiliary loss free MoE load balancing, MLA, muon optimizer, and a bunch of other ones. The Deepseek papers are really well written, this isn’t just sneaking a peek at a peer. Anybody who thinks China is simply distilling glorious American models is not engaging with reality.