13q interstitial deletion in a moroccan child with hereditary retinoblastoma and intellectual disability: A case report

Outtaleb, Fatima Zahra; Kora, Lafia Xavier; Jabrane, G.; Serbati, Nadia; Maaloum, L. El; Allali, B.; Kettani, A. El; Dehbi, Hind

doi:10.1016/j.amsu.2020.10.063

Cited by 2 publications

(1 citation statement)

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“…It requires early diagnosis in cases of positive family history of Retinoblastoma [7], and screening should be considered for all family members and newborns of the affected individual [9]. Pregnancies in high-risk families require special attention, including antenatal ultrasonography and genetic testing [10].…”

Section: Introductionmentioning

confidence: 99%

Analysis on Characteristics and Management of Retinoblastoma Using Machine Learning

Ashwini

Minu

Kumar

2022

Advances in Parallel Computing Algorithms, Tools and Paradigms

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Retinoblastoma is an embryonic intraocular tumor arising in the retina of the eye. It is a dangerous tumor that can damage the eye and its surrounding components. Chromosome 13q14.1-14.2 is the cytogenetic location of the RB1 gene. As a result, early identification of Retinoblastoma in children is essential. Over the last few decades, Retinoblastoma treatment has improved with the goal of not only saving life and the eye but also optimizing residual vision. In oncology, machine learning approaches used to predict cancer patient treatment outcomes include data collection and preprocessing, text mining of clinical literature, and constructing prediction models. This paper discusses recent advances in the management of Retinoblastoma, as well as data preparation and model construction for identifying patterns between Retinoblastoma clinical factors and predicting therapy success using machine learning.

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Section: Introductionmentioning

confidence: 99%