Abeed Sarker, PhD retweeted
The vast troves of health data generated during everyday medical care should be treated like essential public infrastructure—governed as a regulated utility rather than left fragmented across private silos, argue the authors of a new #SciencePolicyForum. scim.ag/4lcjccd
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The Path
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Microsoft claims their new AI framework diagnoses 4x better than doctors. I'm a medical doctor and I actually read the paper. Here's my perspective on why this is both impressive AND misleading ... 🧵
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📢 The 10th Mental Health Workshop at UbiComp/ISWC Conference will feature speakers from Wellcome Trust. We will also host a group discussion session with them regarding UbiComp research to address the global mental health challenge. If you are interested, please submit your work by July 4th (new.precisionconference.com), and also attend our workshop (lnkd.in/eNwjRRUQ)! Wellcome Trust is a global charitable foundation and has been supporting research on worldwide health challenges: mental health, climate and health, and infectious diseases! Please check out their webpage (wellcome.org/), if you are interested in learning more! @ubicomp @ISWCNET @wellcometrust #MentalHealth
📣 The submission deadline for the 10th Mental Health Workshop at UbiComp/ISWC Conference is extended to July 4th! We encourage submissions that present early-stage findings or exploratory ideas that are valuable to the research community. @ubicomp @ISWCNET
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Kudos @sarkerabeed for "Natural Language Processing for Digital Health in the Era of Large Language Models." @WinshipAtEmory @EmoryUniversity @EmoryMedicine @emoryhealthsci @emoryhealthcare tinyurl.com/sfbcf4du
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Abeed Sarker, PhD retweeted
Today is the start of a new era of natively multimodal AI innovation. Today, we’re introducing the first Llama 4 models: Llama 4 Scout and Llama 4 Maverick — our most advanced models yet and the best in their class for multimodality. Llama 4 Scout • 17B-active-parameter model with 16 experts. • Industry-leading context window of 10M tokens. • Outperforms Gemma 3, Gemini 2.0 Flash-Lite and Mistral 3.1 across a broad range of widely accepted benchmarks. Llama 4 Maverick • 17B-active-parameter model with 128 experts. • Best-in-class image grounding with the ability to align user prompts with relevant visual concepts and anchor model responses to regions in the image. • Outperforms GPT-4o and Gemini 2.0 Flash across a broad range of widely accepted benchmarks. • Achieves comparable results to DeepSeek v3 on reasoning and coding — at half the active parameters. • Unparalleled performance-to-cost ratio with a chat version scoring ELO of 1417 on LMArena. These models are our best yet thanks to distillation from Llama 4 Behemoth, our most powerful model yet. Llama 4 Behemoth is still in training and is currently seeing results that outperform GPT-4.5, Claude Sonnet 3.7, and Gemini 2.0 Pro on STEM-focused benchmarks. We’re excited to share more details about it even while it’s still in flight. Read more about the first Llama 4 models, including training and benchmarks ➡️ go.fb.me/gmjohs Download Llama 4 ➡️ go.fb.me/bwwhe9
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Abeed Sarker, PhD retweeted
If you are a scientist or engineer and want to help Congress shape AI policy over the next year - @AAAS_STPF is seeking applications with a May 1 deadline. Fellows will be extraordinary assets in helping Congress understand political, social, cyber and economic impacts of AI.
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Walking speed vs. Professors
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Down over 60%. That’s how far federal research funding has fallen compared to this time last year. Every delay in funding is a delay in delivering for the health of American people.
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Introducing Gemini 2.5 Pro Experimental. The 2.5 series marks a significant evolution: Gemini models are now fundamentally thinking models. This means the model reasons before responding, to maximize accuracy -- and it’s our best Gemini model yet. Blog - goo.gle/4c3NitO
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Abeed Sarker, PhD retweeted
Corrections
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It’s not too late to register for 𝐍𝐚𝐭𝐢𝐨𝐧𝐚𝐥 𝐃𝐫𝐮𝐠 𝐚𝐧𝐝 𝐀𝐥𝐜𝐨𝐡𝐨𝐥 𝐅𝐚𝐜𝐭𝐬 𝐖𝐞𝐞𝐤®! Register today to show your support for this important week and help spark dialogue on the science of #drugs with young people. go.nih.gov/5pJrDWP #NDAFW
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Abeed Sarker, PhD retweeted
Read #NIH #NIDA Director Dr. Nora Volkow's new guest editorial for @ASAMorg on advancing reduction of drug use as an endpoint in #addiction treatment trials.  go.nih.gov/wXfsCkf (1/2)
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Abeed Sarker, PhD retweeted
Philadelphia does it again 👏🎨🖌️ Philadelphia was voted Best City for Street Art by @USATODAY @10Best Readers' Choice Award 2025. 🏆🎉 #discoverPHL #Philadelphia #Philly #BestCityForStreetArt #USA10Best
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Social Media Mining for Health/Health Real-World Data (#SMM4H-HeaRD) 2025 Workshop and Shared Tasks healthlanguageprocessing.org… Workshop The Social Media Mining for Health (#SMM4H) Workshop provides an interdisciplinary forum to present and discuss natural language processing, machine learning, and artificial intelligence at the convergence of social media and health. For the 10th #SMM4H Workshop, co-located at ICWSM 2025, we are broadening the scope to include additional web-based sources of "health real-world data" (HeaRD), inviting the submission of papers on original, completed, and unpublished research in all aspects at the intersection of web-based text data and health. Important Dates Submission deadline: May 2, 2025 Notification of acceptance: May 23, 2025 Camera-ready papers due: June 6, 2025 Workshop: June 23, 2025 Shared Tasks The #SMM4H-HeaRD shared tasks address natural language processing, machine learning, and artificial intelligence challenges inherent to utilizing social media and other web-based text data for health-related research. For each of the 6 tasks below, teams will be provided with annotated training and validation data to develop their systems, followed by 5 days during which they will run their systems on unlabeled test data and upload their predictions to CodaLab.  Additional details about the tasks and system description papers can be found on the website. Please use this form to register. Task 1: Detection of adverse drug events in multilingual and multi-platform social media posts Task 2: Extraction of clinical and social impacts of non-medical substance use from Reddit Task 3: Detection of dementia family caregivers on Twitter Task 4: Detection of insomnia in clinical notes Task 5: Detection and extraction of food recalls and foodborne disease outbreaks in online news articles Task 6: Detection of adverse vaccine events on Reddit Important Dates Training and validation data available: February 14, 2025 System predictions for validation data due: March 31, 2025 Test data available: April 7, 2025 System predictions for test data due: April 11, 2025 Submission deadline for system description papers: May 2, 2025 Notification of acceptance: May 23, 2025 Camera-ready papers due: June 6, 2025 Workshop: June 23, 2025
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21st February is International mother language day, and a special day for Bangla speakers. We are proud of our language and our literature! Do you know its history? From wikipedia: When Pakistan was created in 1947, it had two geographically separate parts: East Pakistan (currently known as Bangladesh) and West Pakistan (currently known as Pakistan). The two parts were very different from each other in the sense of culture and language, and were also separated by India in between. In 1948, the Government of Pakistan declared Urdu to be the sole national language of Pakistan, even though Bengali or Bangla was spoken by the majority of people combining East Pakistan and West Pakistan. The East Pakistan people protested since the majority of the population was from East Pakistan and their mother language was Bangla. They demanded Bangla to be at least one of the national languages, in addition to Urdu. The demand was raised first by Dhirendranath Datta from East Pakistan on 23 February 1948, in the constituent Assembly of Pakistan. To demolish the protest, the government of Pakistan outlawed public meeting and rallies. The students of the University of Dhaka, with the support of the general public, arranged massive rallies and meetings. On 21 February 1952, police opened fire on rallies. Abdus Salam, Abul Barkat, Rafiq Uddin Ahmed, Abdul Jabbar and Shafiur Rahman died, with hundreds of others injured. This was a rare incident in history, where people sacrificed their lives for their mother tongue.
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