A new AI model can deduce a person's biological age using a selfie. Could it be used to guide cancer treatment decisions?

Researchers have unveiled 'FaceAge,' an AI-driven model that predicts a cancer patient's biological age through facial recognition. This tool enhances survival predictions and informs treatment plans, ...

Although still in its infancy, this technology has already shown remarkable effectiveness in detecting and treating cancer, ...

In a nutshell Cancer patients tend to “look” biologically older than their actual age, and this visual age difference, captured by an AI system called FaceAge, can strongly predict their survival odds ...

CURE connects oncology patients, survivors, and caregivers with expert guidance, cancer updates, treatment education, and ...

A joint research team affiliated with UNIST has developed a 3D-printed artificial tumor tissue capable of replicating the in ...

Discover a study about an AI model named PLAN-B-DF that has been developed to improve the prediction of hepatocellular ...

Recently, licensed and emerging treatments for metastatic castrate-resistant prostate cancer are transforming the prognosis for men whose disease has already progressed during or after docetaxel ...

These systems are crucial for predicting patient survival and guiding ... accuracy and efficiency of thyroid cancer staging and risk classification. The model leverages four offline open-source ...

[5] In 2014 Norway’s ovarian cancer survival rate was the highest of six ... any improvements made to New Zealand’s healthcare model following its publication, the current redesign of our ...