The all-new CURERING iOS app is here.
Built from the ground up, the new app delivers a faster, smoother, more intuitive experience from the moment you connect your Ring.
Existing CURERING owners can now join the beta, explore the new experience first, and help shape what launches next.
Join the beta: https://t.co/7EQEai1IEN
5 Health Signals Hidden in Your Voice
Your voice may be tracking things your words never say.
The pause before a word, the subtle drop in energy, the flatter tone when you are tired, and the small shifts in pitch, rhythm, breath, and volume.
Researchers are studying these patterns over time because they can reflect changes in the nervous system, cognition, mood, stress, and fatigue.
Here are 5 health signals hidden in your voice:
1. Neurological health
Your voice is partly controlled by your nervous system. Changes in vocal stability, loudness, pitch, articulation, and speech rhythm are being studied in conditions like Parkinsonโs as possible markers of disease state or progression.
2. Cognitive load
You can sometimes hear cognitive effort in speech. When your brain is working harder, your pauses may get longer, your responses may slow down, and word-finding can become more difficult.
3. Emotional state
Your mood can change how you sound. Pitch, pace, rhythm, vocal energy, and variation can shift with emotional state. Researchers have studied these patterns in relation to depression, anxiety, and other mental health signals.
4. Stress and recovery
Stress affects your body, and your voice can reflect that. Breathing, muscle tension, vocal effort, and nervous system activity can influence tone, stability, energy, and voice quality.
5. Fatigue
When you are tired, your speech may become slower, quieter, flatter, or less precise. That is why voice is being explored as a signal for fatigue monitoring, workplace health, and clinical research.
The important part is not one recording.
It is the pattern over time.
Voice data can carry health, emotional, identity, and behavioral signals. It should not be collected casually or studied without clear consent.
That is why AxonVoice is being built as privacy-first research infrastructure for voice biomarkers.
A consent-first way to study voice as a health signal while giving participants control over how their data is collected, shared, and used.
Learn more: https://t.co/e5CPcEzNfs
High performers don't just work harder. They recover better.
Recovery is a skill, not a passive event. You build it into your day.
The five pillars:
Breath, Mindfulness, Movement, Quality Sleep & Nature
Training recovery is the same as training productivity.
Start today.
Published today: a first-of-its-kind case series examining clinical improvements following an integrative iboga microdosing protocol for chronic brain injury symptoms.
https://t.co/ddhhR6kcUP
Day 3 burn is complete ๐ฅ
4.5M / 4.5M AXGT has now been permanently removed from circulation.
This is part of the infrastructure work weโre building around Axonโs protocol. For us, the point isnโt just the burn itself. Itโs the loop behind it:
- GPU demand leads to compute usage.
- Compute usage supports real research.
- More infrastructure enables us to expand capacity.
- More capacity gives research workflows more space to run.
Compute, research, infrastructure, repeat.
Burn tx: 0xaa56820ac2425d05c89e1110cb34e1c8cec999c58a7306bb5a55df5434fbafd7
He spent weeks sifting through the wreckage of 9/11 for survivors.
Only to wake up one night with an ice pick in his eye. Except...
๐ต๐ฉ๐ฆ๐ณ๐ฆ ๐ธ๐ข๐ด ๐ฏ๐ฐ ๐ช๐ค๐ฆ ๐ฑ๐ช๐ค๐ฌ.
Joe McKay had developed Cluster Headaches. Also known as:
๐ฆ๐๐ถ๐ฐ๐ถ๐ฑ๐ฒ ๐๐ฒ๐ฎ๐ฑ๐ฎ๐ฐ๐ต๐ฒ๐.
Described by doctors as "the worst pain humans can experience."
And for a year, nothing gave him relief.
No prescription helped.
No treatment worked.
He was hooked on prescription painkillers, contemplating death
๐ฆ๐ท๐ฆ๐ณ๐บ. ๐ด๐ช๐ฏ๐จ๐ญ๐ฆ. ๐ฅ๐ข๐บ.
Until a friend who used to go to Grateful Dead concerts handed him a chocolate.
๐ง๐ต๐ฎ๐ ๐ต๐ฎ๐ฑ ๐ฎ๐ด ๐ผ๐ณ ๐ฃ๐๐ถ๐น๐ผ๐ฐ๐๐ฏ๐ถ๐ป ๐ถ๐ป ๐ถ๐.
The next day...
He felt the shadow of a headache.
๐๐ถ๐ต ๐ช๐ต ๐ฏ๐ฆ๐ท๐ฆ๐ณ ๐ค๐ข๐ฎ๐ฆ.
Day after that. Same thing.
No headaches for over a year.
Now he advocates for first responders.
"For people in my community, a lot of us,"
"๐๐ฉ'๐จ ๐ฅ๐จ๐๐ก๐ค๐๐ฎ๐๐๐ฃ ๐ค๐ง ๐จ๐ช๐๐๐๐๐."
AxonOS private beta is here.
Weโre opening the first cohort to selected researchers, and AxonDAO is providing free initial compute for those joining early.
If you want early access, apply here:
https://t.co/cDCtH66hXu
AxonOS is now in private beta.
We are inviting qualified researchers to join the first test cohort and early grant pipeline.
Selected researchers may receive free initial compute grants on the first V100-backed stack as part of the initial rollout.
Apply here: https://t.co/kjKuVSMLq1
This is part of what we think about a lot at AxonDAO.
If science is becoming computational, then scientific infrastructure has to be built for verification, reuse, and access, not just raw performance.
Follow us for more
Source:
https://t.co/dplyfSSXik
Australian tech entrepreneur Paul Conyngham explains how he used ChatGPT/AlphaFold (spent $3,000 with no biology background) to create a custom MRNA vaccine to treat his dogโs cancer tumors. Unreal.
Very soon there are going to be more AI agents than humans making transactions.
They canโt open a bank account, but they can own a crypto wallet. Think about it.
Itโs live.
AxonDAOโs GPU fleet is installed and will soon be rentable on the open market via @vast_ai.
Premium GPU capacity - 8x NVIDIA B200 and 8x RTX Pro 6000 - built for large-scale AI training, inference, rendering, and research workloads. ๐งต
A comprehensive large-scale biomedical knowledge graph for AI-powered data-driven biomedical research
https://t.co/PmwLyvT3mx
#iKraph#AI_for_science
Summary: In this study, authors built a large biomedical knowledge graph called iKraph using all PubMed abstracts. It extracts information with human-level accuracy and integrates data from 40 public databases.
The system can discover indirect causal relationships and predict new drug candidates. Overall, the study demonstrates that large-scale, literature-integrated knowledge graphs combined with interpretable inference methods can enable powerful, real-time biomedical discovery. The authors also released a cloud-based platform for academic users to access the structured data and analytical tools.