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BAD2matrix: Phylogenomic matrix concatenation, indel coding, and more.
Appl Plant Sci
September 2024
Lewis B. and Dorothy Cullman Program for Molecular Systematics The New York Botanical Garden, Bronx New York USA.
Premise: Common steps in phylogenomic matrix production include biological sequence concatenation, morphological data concatenation, insertion/deletion (indel) coding, gene content (presence/absence) coding, removing uninformative characters for parsimony analysis, recording with reduced amino acid alphabets, and occupancy filtering. Existing software does not accomplish these tasks on a phylogenomic scale using a single program.
Methods And Results: BAD2matrix is a Python script that performs the above-mentioned steps in phylogenomic matrix construction for DNA or amino acid sequences as well as morphological data.
Can ChatGPT reliably answer the most common patient questions regarding total shoulder arthroplasty?
J Shoulder Elbow Surg
October 2024
Department of Orthopedic Surgery, Icahn School of Medicine at Mount Sinai, New York, NY, USA. Electronic address:
Background: Increasingly, patients are turning to artificial intelligence (AI) programs such as ChatGPT to answer medical questions either before or after consulting a physician. Although ChatGPT's popularity implies its potential in improving patient education, concerns exist regarding the validity of the chatbot's responses. Therefore, the objective of this study was to evaluate the quality and accuracy of ChatGPT's answers to commonly asked patient questions surrounding total shoulder arthroplasty (TSA).
View Article and Find Full Text PDFExternal Testing of a Deep Learning Model to Estimate Biologic Age Using Chest Radiographs.
Radiol Artif Intell
September 2024
From the Department of Radiology, Seoul National University Hospital, 101 Daehak-ro, Jongno-gu, Seoul 03080, Korea (J.H.L., J.M.G., H.K.); Department of Biomedical Engineering, Chungnam National University College of Medicine, Chungnam National University Hospital, Daejeon, Korea (D.L.); Massachusetts General Hospital Cardiovascular Imaging Research Center and Harvard Medical School, Boston, Mass (M.T.L., V.K.R.); Institute of Radiation Medicine, Seoul National University Medical Research Center, Seoul, Korea (J.M.G.); Cancer Research Institute, Seoul National University, Seoul, Korea (J.M.G.); Medical Research Collaborating Center, Seoul National University Hospital, Seoul, Korea (Y.C.); and Department of Internal Medicine, Healthcare Research Institute, Healthcare System Gangnam Center, Seoul National University Hospital, Seoul, Korea (S.H.C.).
Article Synopsis
- This study evaluated the CXR-Age model, which uses deep learning to estimate a person's "radiographic age" based on chest X-rays, as a predictor of mortality risk in a large group of asymptomatic Asian individuals aged 50-80.
- Researchers analyzed data from nearly 37,000 individuals over a median of 11 years, finding that a higher CXR-Age correlated with increased risk for all-cause mortality, cardiovascular, lung cancer, and respiratory disease deaths.
- The study concluded that the CXR-Age model adds significant prognostic value beyond traditional clinical factors, indicating its potential usefulness across diverse populations.
Commentary: Alphabet soup: Successful management of ALCAPA in a neonate with LBW on VA ECMO.
J Thorac Cardiovasc Surg
March 2024
Duke Congenital Heart Surgery Research and Training Laboratory, Duke University, Durham, NC. Electronic address:
Chinese offers a test for universal cognitive processes.
Behav Brain Sci
October 2023
Department of Sport and Health Sciences, University of Potsdam, Potsdam, https://www.uni-potsdam.de/en/trainingswissenschaft/staff/rkliegl.
The Chinese writing system is unique in its implementation of graphemic, phonological, morphological, and semantic features. We add nuances to its portrait in the target article and highlight research on radically different timelines of phonological and semantic activation during reading of Chinese and alphabetic script, paving the way for the identification of universal and culture-specific cognitive processing.
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