Jake Albrecht
@jakealbrecht
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Director of Challenges and Benchmarking at Sage Bionetworks Open science is better science!
Joined January 2009
Thrilled to be cochairing the competition track again this year: note the new deadline for submissions!
Announcing the NeurIPS 2024 call for competitions! https://t.co/2PtyD5wj2b
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Announcing the NeurIPS 2024 call for competitions! https://t.co/2PtyD5wj2b
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Latest public data release (release 15.0) of @AACR #ProjectGenie is live now on Synapse. There are now nearly 200K samples in the registry from >170K patients, powering precision #oncology through open data sharing & effective reuse. Explore on Synapse: https://t.co/NOLN69Wl74
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Live now on Synapse 👉 https://t.co/4y2Ps2qgwr Come help our communities find and evaluate biomarkers of #aging
@mfoundation @VoLoFoundation @agingbiomarkers #datachallenges #benchmarking
1/6 🏅 Registration for our Biomarkers of Aging Challenge is live! Our Challenge was developed to crowdsource and stimulate participation to best predict chronological age, survival/mortality and multi-morbidity incidence, using our open-source ML tooling Biolearn and datasets.
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A real pleasure to attend! Of course I learned about the cutting edge research, but the real benefit was the face-to-face interaction! Wonderful to get to know the people behind the work
#NeurIPS2023 ends with appreciation! A big thank you to our attendees and organizers for an unforgettable event. Wishing everyone safe onwards journeys.
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Every day a door opens and a new horror appears 🚪Fight back with ethics:
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https://t.co/VXv0xGl7cN in the News! New website helps engineers find biomedical challenges that crown winning algorithms https://t.co/f3Aw6lupxo via @GeekWire
geekwire.com
Homepage for the Sage Bionetworks' new OpenChallenges platform. (Sage Biotneworks Graphic) There are lots of tasks in biomedicine that are more accurately
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Congratulations to the winners!
Congratulations to the winners of the first Xcelerate RARE Open Science Data Challenge! To check out the winners: https://t.co/lRXHjFD9w8
@Roche @Sagebio @UW @umichmedicine @StJude @3billionrare
#OSDC #XcelerateRARE #RAREAdvocacySummit #CareAboutRARE #PatientData
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Privacy and security of medical data for #AI across healthy systems is a critical concern. That's why this new paper is particularly relevant https://t.co/S4R5qy7KjR
@NatMachIntell
nature.com
Nature Machine Intelligence - Federated learning can be used to train medical AI models on sensitive personal data while preserving important privacy properties; however, the sensitive nature of...
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FeTS2.0 is ready to go! #RANO together with @ecalabr and @SpyridonBakas are coordinating a #FederatedLearning study for post-operative gliomas! More info:
📢Calling all brain tumor researchers! Join our global federated learning study for automated volumetric response assessment in post-operative glioblastoma led by Dr. Evan Calabrese (@ecalabr) here at #DukeRadiology.
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Medical #AI has a reproducibility problem. The #MedPerf framework provides a way to benchmark algorithms in a privacy-preserving way. Led by @MLCommons with contributions from @Sagebio, @huggingface, @intel & many others. https://t.co/UmVAGbJnlW
https://t.co/NDJWjOVSdZ
techcrunch.com
MLCommons, the industry consortium developing benchmarks to test AI models, has developed a platform for evaluating AI medical models.
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Announcing MedPerf an open benchmarking platform for medical AI. Learn more about Federated Benchmarking of Medical AI with MedPerf in Nature Machine Intelligence. https://t.co/Mj5CF4bGDC
#machinelearning #ArtificialIntelligence #medperf #HealthcareInnovation #HealthTech
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Today we announced MedPerf an open benchmarking platform for medical AI from the MLCommons Medical WG with major contributions from @DanaFarber @Google @huggingface @intel @MSFTResearch @nutanix @PennMedicine and many others.
mlcommons.org
Bridging the gap between Medical AI research and real-world clinical impact
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Hey all we are looking for new directors to expand the DREAM ----->>>>>>>
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Ever wondered what the brain of a tumor patient looked like before they developed the disease? This question keeps doctors awake at night. Help them by joining the BraTS Inpainting Challenge! https://t.co/ikNlwbjDL6
#AI #MachineLearning #DeepLearning #computervision #glioma #ml
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Registration is now open for researchers & data scientists to compete in the #XcelerateRARE Open Science Data Challenge! Work together addressing 3 Challenge Topics! Register: https://t.co/YN1prPd4Fp For info: https://t.co/AHfMGm97PO
@Roche @RocheCanada
#XcelerateRARE
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@BraTS_challenge 2023 is now online! Important dates & registration: https://t.co/XMQoGArk0A Focus on #brain #tumors beyond #glioma/#Glioblastoma & evaluating #segmentation, #synthesis, & #augmentations
@TheASNR @MICCAI_Society @NeuroOnc #AI #MachineLearning #DeepLearning
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🚨💬 Love #ChatGPT & want to do serious bioinformatics? We present 💬🧬 ChatGSE, an open-source platform and web app to enhance the interaction between researchers and conversational #AI. 📑 Preprint here: https://t.co/bANaiPBQE6 -- and we are looking for contributors! 🧵⬇️
arxiv.org
Current-generation Large Language Models (LLMs) have stirred enormous interest in recent months, yielding great potential for accessibility and automation, while simultaneously posing significant...
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Our past conferences wouldn't have been possible without our many reviewers. If you have at least 2 papers in top peer-reviewed confs or journals, with at least one in an ML venue (eg NeurIPS ICML ICLR), we’d be v grateful if you reviewed for #NeurIPS2023
https://t.co/AeQC5caI4O
docs.google.com
The NeurIPS conference aims for a high-quality peer reviewing process by experts on a wide range of topics. Reviewers are expected to have at least two papers in top peer-reviewed conferences or...
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The BEAT-PD Dream Challenge manuscript "Developing better digital health measures of Parkinson's disease using free living data and a crowdsourced data analysis challenge" is out in @PLOSDigiHealth ! Check it out: https://t.co/i2FW9FLAbE
#DataChallenge #digitalhealth #Parkinsons
journals.plos.org
Author summary Motion sensors available in consumer devices like smartphones, smartwatches and fitness trackers have enormous potential for use in tracking health and, in the case of movement...
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