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Smartwatch and Hypertension Notification

From JAMA: The US Food and Drug Administration recently cleared the Apple Watch hypertension notification feature.

Researchers applied performance metrics reported by Apple to nationally representative survey data and found that, overall, 69% of individuals who receive a smartwatch alert would have hypertension, while 79% of those who do not receive an alert would not have hypertension. However, these rates vary according to subgroup characteristics, such as age and sex.

Current guidelines recommend cuff-based blood pressure measurement as the standard for diagnosing hypertension. Incorporating cuffless device technologies into public health screening efforts will require additional validation and careful attention to device accuracy to reduce misclassification and the risk of false reassurance.


This cross-sectional study assesses the potential impact of a smartwatch hypertension notification feature for US adults who have not been diagnosed with hypertension.

Monitoring biological effects of somatic cell genome editing

CRISPR-based genome editing therapeutics are entering the clinic, but in vitro and in vivo tools are needed to assess their safety and efficacy. The authors review complementary technologies to monitor the biological effects of genome editing across scales, including the direct measurement of editing outcomes in DNA, human microphysiological systems and non-invasive in vivo imaging.

A Deep Dive Into The ‘Longevity Vitamin’, Ergothionine

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Photonic processor could streamline 6G wireless signal processing

One of the biggest challenges the researchers faced when designing MAFT-ONN was determining how to map the machine-learning computations to the optical hardware.

“We couldn’t just take a normal machine-learning framework off the shelf and use it. We had to customize it to fit the hardware and figure out how to exploit the physics so it would perform the computations we wanted it to,” Davis says.

When they tested their architecture on signal classification in simulations, the optical neural network achieved 85 percent accuracy in a single shot, which can quickly converge to more than 99 percent accuracy using multiple measurements. MAFT-ONN only required about 120 nanoseconds to perform entire process.

Lung cancer drug offers a surprising new treatment against ovarian cancer

A new study published by Mayo Clinic researchers suggests that ovarian cancer cells quickly activate a survival response after PARP inhibitor treatment, and blocking this early response may make this class of drugs work better. The research is published in the journal Science Translational Medicine.

PARP inhibitors are a common treatment for ovarian cancer and can be especially effective in cancers with impaired DNA repair. However, many tumors eventually stop responding, even when the drugs initially show results. The new research identifies a way cancer cells may survive PARP inhibitor treatment early on, and it points to a potential strategy to block that response.

In the study, researchers found that ovarian cancer cells rapidly activate a pro-survival program after exposure to PARP inhibitors. A key driver of this response is FRA1, a transcription factor that helps turn on genes that allow cancer cells to adapt and avoid cell death.

Gemini 3 Deep Think: Advancing science, research and engineering

Today, we’re releasing a major upgrade to Gemini 3 Deep Think, our specialized reasoning mode, built to push the frontier of intelligence and solve modern challenges across science, research, and engineering.

We updated Gemini 3 Deep Think in close partnership with scientists and researchers to tackle tough research challenges — where problems often lack clear guardrails or a single correct solution and data is often messy or incomplete. By blending deep scientific knowledge with everyday engineering utility, Deep Think moves beyond abstract theory to drive practical applications.

The new Deep Think is now available in the Gemini app for Google AI Ultra subscribers and, for the first time, we’re also making Deep Think available via the Gemini API to select researchers, engineers and enterprises. Express interest in early access here.

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