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Non-NF2 schwannomatosis is a rare syndrome characterized by multiple benign schwannomas that primarily affect nerve sheaths, with chronic, treatment-resistant pain as the most common symptom. No protocol has been established for pain management, and pharmacotherapies, including molecular target therapies, are being evaluated. Neuromodulation therapies such as scrambler therapy and surgical options are also employed; however, surgery may lead to persistent or recurrent pain caused by nerve damage or tumor recurrence.

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The topography of nullomer-emerging mutations and their relevance to human disease.

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Institute for Personalized Medicine, Department of Biochemistry and Molecular Biology, The Pennsylvania State University College of Medicine, Hershey, PA, USA.

Nullomers are short DNA sequences (11-18 base pairs) that are absent from a genome; however, they can emerge due to mutations. Here, we characterize all possible putative human nullomer-emerging single base pair mutations, population variants and disease-causing mutations. We find that the primary determinants of nullomer emergence in the human genome are the presence of CpG dinucleotides and methylated cytosines.

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A Systematic Approach to Prioritise Diagnostically Useful Findings for Inclusion in Electronic Health Records as Discrete Data to Improve Clinical Artificial Intelligence Tools and Genomic Research.

Clin Oncol (R Coll Radiol)

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Department of Pathology and Laboratory Medicine, Medical College of Wisconsin, 9200 W Wisconsin Ave, Milwaukee, WI 53226, USA; Department of Pathology, Yale School of Medicine, 20 York Street, Ste East Pavilion 2-631, New Haven, CT 06510, USA. Electronic address:

Aims: The recent widespread use of electronic health records (EHRs) has opened the possibility for innumerable artificial intelligence (AI) tools to aid in genomics, phenomics, and other research, as well as disease prevention, diagnosis, and therapy. Unfortunately, much of the data contained in EHRs are not optimally structured for even the most sophisticated AI approaches. There are very few published efforts investigating methods for recording discrete data in EHRs that would not slow current clinical workflows or ways to prioritise patient characteristics worth recording.

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