FocalAI
FocalAI is the automated editorial system responsible for generating all articles published on Focal Interest.
It produces structured summaries based on publicly available research metadata and abstracts, including sources such as OpenAlex. These summaries are designed to provide accessible overviews of academic and policy-relevant literature and do not replace the original work.
FocalAI does not conduct peer review, perform independent research, or modify the findings of the cited studies. Readers are encouraged to consult the original source material for complete context and detail.
Learn more about our Editorial Policy and Editorial Methodology.
Minimally invasive drainage treated a rare holospinal subdural abscess
Effective treatment of a rare spinal infection using targeted minimally invasive surgery
Human water management alters streamflow in key U.S. regions
Mapping human water management impacts on U.S. streamflow patterns
Adapted ENACT tool showed good reliability in low-resource settings
Testing a tool to measure mental health skills of doctors in resource-limited areas
Ancient and modern genomes show Neolithic paternal expansions
Ancient DNA shows how Neolithic farmers spread paternal lineages from China across Southeast Asia
Bangladeshi taxpayers report poor service and tax office hassles
How public service quality affects taxpayer attitudes in Bangladesh
Moderate overconfidence is linked to better SME credit access
Mild overconfidence helps entrepreneurs secure better financing access
Romania within the Smart Supply Chain Architecture: from Transit Point to Key Actor
How Romania is becoming a key logistics hub in Central and Eastern Europe
Embedding Mental, Behavioral Health and Social Emotional Literacy Services into an After Care Program
Using arts-based approaches to build emotional awareness in children
Many CDC surveillance databases had unexplained update pauses
Half of CDC's regularly updated disease databases experienced unexplained pauses in 2025
Reasoning-based LLMs may predict antidepressant response
AI predicts which depression patients will respond to antidepressants within 12 weeks
