AIMC Topic: Prognosis

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Mathematical and deep learning analysis based on tissue dielectric properties at low frequencies predict outcome in human breast cancer.

Technology and health care : official journal of the European Society for Engineering and Medicine
BACKGROUND: The early detection of human breast cancer represents a great chance of survival. Malignant tissues have more water content and higher electrolytes concentration while they have lower fat content than the normal. These cancer biochemical ...

[Application of Artificial Intelligence in Clinical Genomics].

Zhongguo yi xue ke xue yuan xue bao. Acta Academiae Medicinae Sinicae
Clinical genomics mainly studies the clinical application of genomics in diagnosis,treatment decision,and prognosis prediction.Artificial intelligence enables the processing of complex and massive data in genomics which are difficult to be dealt with...

[Research status and prospect of artificial intelligence technology in the diagnosis of urinary system tumors].

Sheng wu yi xue gong cheng xue za zhi = Journal of biomedical engineering = Shengwu yixue gongchengxue zazhi
With the rapid development of artificial intelligence technology, researchers have applied it to the diagnosis of various tumors in the urinary system in recent years, and have obtained many valuable research results. The article sorted the research ...

Detection of subtype-specific breast cancer surface protein biomarkers via a novel transcriptomics approach.

Bioscience reports
BACKGROUND: Cell-surface proteins have been widely used as diagnostic and prognostic markers in cancer research and as targets for the development of anticancer agents. So far, very few attempts have been made to characterize the surfaceome of patien...

Predicting outcomes after trauma: Prognostic model development based on admission features through machine learning.

Medicine
In an overcrowded emergency department (ED), trauma surgeons and emergency physicians need an accurate prognostic predictor for critical decision-making involving patients with severe trauma. We aimed to develope a machine learning-based early progno...