Pulling back the veil on Epic again – imagine needing to activate their sepsis alert tools to get Gold Stars or join the Honor Roll. 🤮
#medsky #MLsky
www.evidencetriage.com/p/leave-the-...

Pulling back the veil on Epic again – imagine needing to activate their sepsis alert tools to get Gold Stars or join the Honor Roll. 🤮
#medsky #MLsky
www.evidencetriage.com/p/leave-the-...
Errors grew where training materials were sparse, worst near a refractive index of 1.58. Noise and real measurement variation are not yet built in. People set the parameter ranges.
Jung et al., Nanophotonics 14, 471 (2025)
Values are representative.
You can see me here citing Sam Altman's 2024 prediction about 1-person $1 billion companies created using AI.
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📻 Available for Broadcast on PRX
exchange.prx.org/p/637604
When neighbouring elements scatter X-rays alike, ordered and disordered phases give near-identical powder patterns. People chose the targets and in the end re-analysed the patterns by hand.
Szymanski et al., Nature 624, 86 (2023)
Values are representative.
Patchy films gave noisy readings, so each sample ran two to four times. People set the ranges, picked the scale-up recipe and saw a DMSO test film form defects at 100 cm².
Wang et al., Nature Communications 16, 1498 (2025)
Values are representative.
400+ nodes and 1500+ edges
And 11 different ways people at NASA referred to changes in gravitational force
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Two Bridge2AI Investigators receive the IEEE Innovation in Societal Infrastructure Award 🏆 Read more about our Investigators awarded for their leadership in privacy-preserving clinical research: bit.ly/4doccGq
#ArtificialIntelligence #BiomedicalInformatics #MedSky #MedAI #AISky #MLSky
When neighbouring elements scatter X-rays alike, ordered and disordered phases give near-identical powder patterns. People chose the targets and in the end re-analysed the patterns by hand.
Szymanski et al., Nature 624, 86 (2023)
Values are representative.
People set the safe voltage range, chose the two plunger gates, designed the score and labelled every map. This was coarse tuning, not a qubit, with five runs per device.
Moon et al., Nature Communications 11, 4161 (2020)
Values are representative.
People still polish the surface, set voltage, tilt and detector distance, then check any phase the model has not seen.
Kaufmann et al., Science 367, 564 (2020)
Values are representative.
The detector loses the phase, so different profiles can fit one curve. The operator set bounds for every parameter. In a PTCDI-C₈ test, results below about 250 Å scattered more.
Pithan et al., J. Synchrotron Rad. 30, 1064 (2023)
Values are representative.
Join the CM4AI-AnVIL DREAM Challenge: Help pioneer in silico microscopy, build "virtual cells", and develop #GenerativeAI models for protein localization 🚀
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🔬 𝗖𝗮𝗻 𝗮𝗻 𝗔𝗜 𝗮𝗹𝗶𝗴𝗻 𝗮𝗻 𝗲𝗹𝗲𝗰𝘁𝗿𝗼𝗻 𝗺𝗶𝗰𝗿𝗼𝘀𝗰𝗼𝗽𝗲 𝗯𝘆 𝗹𝗼𝗼𝗸𝗶𝗻𝗴 𝗮𝘁 𝘁𝗵𝗲 𝗶𝗺𝗮𝗴𝗲 𝗮𝗹𝗼𝗻𝗲?
Bayesian optimisation tuned a STEM on image contrast: 18 to 32 images per aberration.
Amorphous or drifting samples defeat it. People set region and bounds.
Values are representative.
Last week I went to New York to talk to Robert J. Reynolds, PhD, for a new podcast series with @sobor.bsky.social and UBC.
Rob had quite a story to tell about his work with causal models at NASA.
We just sent today's issue of Causal Python Bi-Weekly.
Here's what's inside:
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