Introduction Implementation of low-intensity, evidence-based psychological interventions can help meet the mental health and ...

How AI, privacy-preserving computation, and explainable models quietly strengthen payments, protect data, and bridge traditional finance with crypto systems.

Foundation models are AI systems trained on vast amounts of data — often trillions of individual data points — and they are capable of learning new ways of modeling information and performing a range ...

Alzheimer's disease (AD), a leading cause of dementia, exhibits notable heterogeneity in its pathology and clinical expression, suggesting the existence of ...

A landmark study, titled “How error correction affects polymerase chain reaction deduplication: A survey based on unique molecular identifier datasets of short reads” recently published in ...

The WHO defines postpartum hemorrhage, a major cause of maternal mortality, as blood loss of 500 mL or more in the first 24 ...

Understanding what user-traffic data can teach you about better spending habits can mean the difference between strategic ...

Harvard engineers, as part of Project CETI, have built an open-source bio-logger that adheres to sperm whales and records ...

Multi-omics analysis has emerged as a powerful approach in translational medicine, integrating diverse molecular data to ...

When you choose where to live, open a store, allocate a public budget or design a marketing campaign, population data by ZIP code is often the missing piece that makes your decision truly data‑driven.

MIT researchers have developed a method that generates more accurate uncertainty measures for certain types of estimation.

Objective To examine household-level patterns of self-reliance among forcibly displaced and host populations using the ...