Today we’re launching Sword Pulse - our new, always-on AI cardiometabolic solution, built to support hypertension, prediabetes, type 2 diabetes, high cholesterol, weight management, and GLP-1 care in one integrated experience.
Cardiometabolic disease is one of the largest and fastest-growing health cost categories in the U.S., affecting more than half of American adults and costing over $400B a year. Across our platform, we were already seeing how closely MSK and cardiometabolic health overlap: in one solution, 3 out of 4 members were overweight or obese, and more than half had a cardiometabolic condition. Supporting them well meant building something that matched the complexity of their needs, and didn’t disappear between appointments, only to pick back up six months later.
Pulse combines Phoenix, our AI Care Specialist, with dedicated clinical support to help members improve daily habits across nutrition, movement, sleep, and stress, with connected devices, ongoing monitoring, and guidance that adapts over time.
Watch the video and learn more about Pulse: https://t.co/mdGSpkHXSb
Europe’s AI moment is happening in Porto.
Speakers from @OpenAI, @Google, @Meta, @nvidia, @MistralAI, @Cohere, @huggingface + more all on one stage.
📍 Nov 15 | Porto
🎟 All this for a symbolic price → https://t.co/TqGXtMVBhn
Llevamos el universo Lingokids y la pasión de la @rfef al Hospital La Paz en esta colaboración tan especial en la que equipamos y decoramos las salas de oncología pediátrica para hacerlas más divertidas, coloridas y agradables para los niños y sus familias
https://t.co/44gWyecLpU
FARFETCH is hosting this year's edition of the European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML/PKDD) Discovery Challenge. Explore the challenge we've set here: https://t.co/1DcDME7HWD
Visit and try your best to win!
#sigir2020#sigir The most visited papers during SIGIR’20.
1. ColBERT: Efficient and Effective Passage Search via Contextualized Late Interaction over BERT
2. Controlling Fairness and Bias in Dynamic Ranking
3. Training Effective Neural CLIR by Bridging the Translation Gap
Panel discussion "When Search meets Recommendations" by @vanessa_murdock , @mdr, Tracy King and Joe Konstan will start at 12:50 pm EDT.
Zoom link at: https://t.co/yRwlJOsHZz
#sigir2020 @sigir2020 @sigir_students
How do we create learning environments that inspire passion - and how do we scale them to work in even the largest institutions? https://t.co/n3LfRzJp8c
You don't want to miss the next @datascience_pt meetup!
The webinar will be conducted by @davidfsemedo, a Ph.D. from Nova University of Lisbon, and will talk about Deep Multimodal and Cross-modal Embeddings.
Learn more & secure your spot: https://t.co/tBEpjCaoZ0
Today, we are starting the 10th Lisbon Machine Learning School (https://t.co/t8QLkglXgm). The lectures are being live-streamed to https://t.co/CPouFLLiWH. Slides are available in this page https://t.co/i3NwKCa0l3 #MachineLearning#NLProc#LxMLS
“If you are neutral in situations of injustice, you have chosen the side of the oppressor. If an elephant has its foot on the tail of a mouse, and you say that you are neutral, the mouse will not appreciate your neutrality.”
― Desmond Tutu
#blackouttuesday ✊🏻✊🏼✊🏽✊🏾✊🏿🖤
For students and others interested in expanding their knowledge of AI during this period, we thought it might be helpful to ask our researchers what they consider to be the most impactful and insightful resources available to use #AtHomeWithAI (1/9)
This time, Meetup no. #77 will host Paulo Maia, Lead Team at Data Science for Social Good Portugal delivering a talk on "Curating a COVID-19 data repository: tales and technicalities".
https://t.co/gNTuvVFOtg
#DSPT#DataSciencePortugal