Use of spatial transcriptomics to analyze the molecular landscape of tuberous sclerosis complex–associated angiomyolipoma: Implications for diagnosis and therapeutic targeting.

Militaries worldwide are rapidly adopting artificial intelligence (AI) while international cooperation flounders. With the United States and China less engaged at a recent AI military summit, middle ...

We sit here writing about investments every day. For those of us who are deep into the investment world, it's easy to lose sight of the reality that most people face: Managing your own investments is ...

You know that phenomenon where youngsters just seem to “get” the latest tech innovation or trend, without even needing an instruction book? You can see them speedily typing away at a tablet screen or ...

This study aimed to develop a machine learning–based model to predict recurrence risk after perianal abscess surgery, thereby supporting personalized follow-up and intervention strategies. Clinical ...

Four years ago, I was given a fantastic opportunity to be a math coach for a primary years program. But when I started, there was no framework to work within, no script to follow. I was starting from ...

ABSTRACT: Desmoid tumors are malignant non-inflammatory fibroblastic tumors with a tendency for local invasion and recurrence post resection. They are considered a locally aggressive proliferative ...

Abstract: Emotion recognition based on electroencephalography (EEG) signals has garnered significant research attention in recent years due to its potential applications in affective computing and ...

Distinct effect of neoadjuvant PD1 alone, PD1+IPI, and PD1+lenvatinib in the peripheral immune profile of melanoma patients (pts) and correlation with pathological (path) response. Combining machine ...

In many complex systems, predictability can be substantially state-dependent. We propose here a purely data-driven approach for estimating the local predictability at different time scales. The ...