10 Hrs
 سرايا الإخبارية
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سرايا الإخبارية

2026-10-20T22:03:36.347Z

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Young man Aoun Al-Adwan passes away

جفرا نيوزجفرا نيوزجفرا نيوز
3 Hrs2026-10-21T04:50:56.688Z
Young man Aoun Al-Adwan passes away

Prince Faisal attends Al-Hussein Cancer Center's 25th anniversary

الوقائع الإخباريةالوقائع الإخباريةالوقائع الإخبارية
7 Hrs2026-10-21T00:40:00.000Z
Prince Faisal attends Al-Hussein Cancer Center's 25th anniversary

UAE areas report unusual odors

عربي21عربي21عربي21
19 Hrs2026-10-20T13:38:18.000Z
UAE areas report unusual odors

Aden Police Provide Update on Amina Al-Rawashdeh Death

الوكيل الإخباريالوكيل الإخباريالوكيل الإخباري
20 Hrs2026-10-20T11:47:47.000Z
Aden Police Provide Update on Amina Al-Rawashdeh Death

Homeland loyalty and duty over gain

وكالة عمون الاخباريةوكالة عمون الاخباريةوكالة عمون الاخبارية
23 Hrs2026-10-20T08:46:38.000Z
Homeland loyalty and duty over gain
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AI tool assesses face images to predict cancer patient survival

AI tool assesses face images to predict cancer patient survival

Scientists have developed an artificial intelligence tool called FaceSurvival that can identify cancer patients who are most likely to die by analyzing images of their faces. Tests showed that more than half of the patients classified in the high-risk category passed away within 90 days, while only 2% of those in the lower-risk group did. The technology relies on analyzing subtle signals in the face, based on research indicating that patients who appear older than their actual age are at a higher risk of death. The tool helps doctors to more accurately assess patients to determine the need for intensive or gentle treatments, thereby contributing to improved methods of predicting treatment outcomes before starting therapy. These results are preliminary and part of ongoing studies, as the technology is still in its experimental stage.

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