
AI Technology Estimates Biological Age from Facial Images to Enhance Cancer Prognosis
AI technology estimates biological age from facial images, aiding cancer prognosis and treatment decisions. πΈπ§¬
Discover the newest research about AI innovations in π Palliative Care.

AI technology estimates biological age from facial images, aiding cancer prognosis and treatment decisions. πΈπ§¬

Revolutionary SSC-SleepNet enhances N1 sleep detection in EEG, achieving F1-scores up to 60.2%! π€π

Palliative care documentation trends in metastatic cancer reveal weakening lexical associations over time. ππ©Ί

AI in Palliative Care: 80% of Bereaved Families Seek Symptom Management Solutions π€π

Machine learning predicts palliative care needs in COPD patients with 92% accuracy. Key factors: BMI, fatigue, activity level, FEV1. ππ‘

Innovations in orthognathic surgery enhance precision and outcomes. Key advancements include AI, 3D imaging, and virtual planning. π¦·β¨

Subacute Sclerosing Panencephalitis: SSPE’s global incidence, pathogenesis, and treatment options. π§ π

Neuranics secures $8 million for magnetic sensing technology, enhancing gesture recognition and heart signal tracking. π§ π°

AI is transforming stroke rehabilitation, offering customized treatments and real-time monitoring. Challenges like data security remain. π€π§

Surgeons face emotional challenges from patient deaths. Our review highlights the need for support to prevent burnout and ensure safety. βοΈπ