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Aurametrix, Inc. ⚙️🦠🧬 Profile
Aurametrix, Inc. ⚙️🦠🧬

@Aurametrix

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Connect the dots to better health! Aurametrix helps you identify the subtle cause-effect relationships that contribute to how you feel--any time, any day.

Silicon Valley, CA
Joined February 2009
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@Aurametrix
Aurametrix, Inc. ⚙️🦠🧬
2 months
Bridge of Clouds
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@wtgowers
Timothy Gowers @wtgowers
3 months
the time it would have taken me would probably have been of order of magnitude an hour (an estimate that comes with quite wide error bars). So it looks as though we have entered the brief but enjoyable era where our research is greatly sped up by AI but AI still needs us. 3/3
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@Aurametrix
Aurametrix, Inc. ⚙️🦠🧬
3 months
When Biology Learns to Test Itself
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@deedydas
Deedy
5 months
"GPT-5 moves from human-comparable to above human-expert performance" GPT-5 outperforms licensed human experts by 25-30% and achieves SOTA results on the US medical licensing exam and the MedQA benchmark. I sound like a broken record, but AI models are better than most doctors.
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@emollick
Ethan Mollick
5 months
GPT-4o was below the level of medical professionals on medical reasoning benchmarks GPT-5 (apparently Thinking medium) now far exceeds them. (Usual benchmark caveats apply)
@omarsar0
elvis
5 months
GPT-5 on Multimodal Medical Reasoning On MedXpertQA MM, GPT-5 improves reasoning and understanding scores by +29.62% and +36.18% over GPT-4o. It surpasses pre-licensed human experts by +24.23% in reasoning and +29.40% in understanding.
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@igabashvili
Irene Gabashvili PhD
5 months
Is the Future of Medicine Just a Prompt Away?
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@arena
lmarena.ai
5 months
In WebDev, Claude Opus 4.1 is sitting at #2, tied with Gemini-2.5-Pro. See the WebDev Arena rankings: https://t.co/kdQoL3K4vl
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@ddkang
Daniel Kang
5 months
The prevailing wisdom is that compute is the most important factor for frontier AI training. We think this is wrong: data is the most costly and important component of AI training. We collected estimates of revenue for major data labeling companies and compared them with the
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@Aurametrix
Aurametrix, Inc. ⚙️🦠🧬
5 months
Evaluating General-Purpose LLMs for Patient-Facing Use: Dermatology-Centered Systematic Review and Meta-Analysis
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medrxiv.org
Background General-purpose large language models (LLMs) have rapidly evolved from experimental tools into widely adopted components of healthcare. Their proliferation – accelerated by the “ChatGPT...
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@Aurametrix
Aurametrix, Inc. ⚙️🦠🧬
6 months
Catch-22 in Biomedicine:
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@RaelynnBird
Raelynn Bird
1 year
Environmental Health: Sustainable Growth in Planned Communities
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@eBlogs
Econometrics
1 year
Modeling the Dynamics of Growth in Master-Planned Communities.
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@THCBstaff
The Health Care Blog
1 year
It's time for @MLMillenson to figure out the answers to the big questions about health care policy, the universe and everything. After all he has ChatGPT to help him. And the Magic 8 Ball... https://t.co/rX8EHvrKxv
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@Aurametrix
Aurametrix, Inc. ⚙️🦠🧬
2 years
Exhale The Difference: Propylene Oxide as a Game-Changer in Dx:
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@Aurametrix
Aurametrix, Inc. ⚙️🦠🧬
2 years
The Ubiquitous Journey of Propylene Oxide:
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@drpetertierney
Peter Tierney
2 years
WEARABLE TERNARY PLOT First try at plotting where certain wearables sit. If a product sits in the centre of the triangle, it could be considered an "all-rounder". If a product sits in the corner, it is a specialist at that particular metric.
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@igabashvili
Irene Gabashvili PhD
2 years
Chronic SARS-CoV-2 Shedding:
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