Issam Ahmed

5 days ago | barrons.com | Issam Ahmed

Out west, they groove with fast, evenly spaced beats. In the east, it's more free-form and fluid. Like humans, chimpanzees drum rhythmically -- and two subspecies living on opposite sides of Africa even have their own signature styles, according to a study published Friday in Current Biology. The idea that ape drumming might hold clues to the origins of human musicality has long fascinated scientists, but collecting enough clean data amid the cacophony of the jungle had, until now, proven elusive.

5 days ago | es-us.noticias.yahoo.com | Issam Ahmed

Issam AHMED9 de mayo de 2025, 8:38 a.m.·4  min de lecturaLos médicos suelen empezar sus exámenes con la "prueba ocular", un juicio rápido sobre si el paciente parece mayor o menor de su edad, que puede influir en decisiones médicas. Este diagnóstico intuitivo podría mejorarse pronto con inteligencia artificial (IA).

5 days ago | em.com.br | Issam Ahmed

Um algoritmo de aprendizagem profunda foi apresentado na quinta-feira (8) na revista The Lancet Digital Health: FaceAge, que converte uma simples foto em primeiro plano em um número que reflete com mais precisão a idade biológica de uma pessoa, em vez da data de nascimento em seus registros médicos. Treinado em dezenas de milhares de fotos, ele determinou que os pacientes com câncer eram, em média, cinco anos mais velhos biologicamente do que seus pares saudáveis.

5 days ago | sciencealert.com | Issam Ahmed

Doctors often start exams with the so-called "eyeball test" – a snap judgment about whether the patient appears older or younger than their age, which can influence key medical decisions. That intuitive assessment may soon get an AI upgrade. FaceAge, a deep learning algorithm described Thursday in The  Lancet Digital Health, converts a simple headshot into a number that more accurately reflects a person's biological age rather than the birthday on their chart.

6 days ago | philstar.com | Issam Ahmed

WASHINGTON, United States — Doctors often start exams with the so-called "eyeball test" — a snap judgment about whether the patient appears older or younger than their age, which can influence key medical decisions. That intuitive assessment may soon get an AI upgrade. FaceAge, a deep learning algorithm described Thursday in The ?Lancet Digital Health, converts a simple headshot into a number that more accurately reflects a person's biological age rather than the birthday on their chart.