Results 41 to 50 of about 200,357 (333)

Adapting and evaluating a deep learning language model for clinical why-question answering [PDF]

, 2019
Objectives: To adapt and evaluate a deep learning language model for answering why-questions based on patient-specific clinical text. Materials and Methods: Bidirectional encoder representations from transformers (BERT) models were trained with varying data sources to perform SQuAD 2.0 style why-question answering (why-QA) on clinical notes.
arxiv   +1 more source

Making tau amyloid models in vitro: a crucial and underestimated challenge

FEBS Letters, EarlyView.
This review highlights the challenges of producing in vitro amyloid assemblies of the tau protein. We review how accurately the existing protocols mimic tau deposits found in the brain of patients affected with tauopathies. We discuss the important properties that should be considered when forming amyloids and the benchmarks that should be used to ...
Julien Broc, Clara Piersson, Yann Fichou
wiley   +1 more source

Impact of molecular diagnostics and targeted cancer therapy on patient outcomes (MODIFY): a retrospective study of the implementation of precision oncology

Molecular Oncology, EarlyView.
The authors conducted a retrospective study of 94 patients with advanced cancer who underwent next‐generation sequencing (NGS) gene panel analysis and received targeted treatments when applicable. Results further support evidence indicating that molecular profiling provides clinical benefit.
Michaël Dang, Anna Schritz, Nikolai Goncharenko, Guy Berchem   +3 more
wiley   +1 more source

Peer teaching under pandemic conditions – options and challenges of online tutorials on practical skills

GMS Journal for Medical Education, 2021
Background: Within days, the corona crisis has forced the “Lernzentrum”, as well as all other places of training and further education, to discontinue classroom teaching at German universities and vocational schools.
Dohle, Niklas Julian, Machner, Mareen, Buchmann, Maike   +2 more
doaj   +1 more source

Multiclass Disease Predictions Based on Integrated Clinical and Genomics Datasets [PDF]

In Poceedings of The Eleventh International Conference on Bioinformatics, Biocomputational Systems and Biotechnologies. Athens. 2019. IARA: Wilmington, pp. 20-27, 2020
Clinical predictions using clinical data by computational methods are common in bioinformatics. However, clinical predictions using information from genomics datasets as well is not a frequently observed phenomenon in research. Precision medicine research requires information from all available datasets to provide intelligent clinical solutions.
arxiv  

A Bayesian Precision Response-adaptive Phase II Clinical Trial Design for Radiotherapies with Competing Risk Survival Outcomes [PDF]

arXiv, 2022
Many phase II clinical trials have used survival outcomes as the primary endpoints in recent decades. Suppose the radiotherapy is evaluated in a phase II trial using survival outcomes. In that case, the competing risk issue often arises because the time to disease progression can be censored by the time to normal tissue complications, and vice versa ...
arxiv  

ShcD adaptor protein drives invasion of triple negative breast cancer cells by aberrant activation of EGFR signaling

Molecular Oncology, EarlyView.
We identified adaptor protein ShcD as upregulated in triple‐negative breast cancer and found its expression to be correlated with reduced patient survival and increased invasion in cell models. Using a proteomic screen, we identified novel ShcD binding partners involved in EGFR signaling pathways.
Hayley R. Lau, Hayley S. Smith, Begüm Alural, Claire E. Martin, Laura A. New, Manali Tilak, Sara L. Banerjee, Hannah N. Robeson, Nicolas Bisson, Anne‐Claude Gingras, Jasmin Lalonde, Nina Jones   +11 more
wiley   +1 more source

Lovo‐cel gene therapy for sickle cell disease: Treatment process evolution and outcomes in the initial groups of the HGB‐206 study

American Journal of Hematology, Volume 98, Issue 1, Page 11-22, January 2023., 2023
Treatment process evolution. *The target TNC for BMH was ≥6 × 108/kg per patient. The Group B1 patient received lovo‐cel produced using both the original and refined manufacturing process, and the Group B2 patient received lovo‐cel produced using only the refined manufacturing process.
Julie Kanter, Alexis A. Thompson, Francis J. Pierciey Jr, Matthew Hsieh, Naoya Uchida, Philippe Leboulch, Manfred Schmidt, Melissa Bonner, Ruiting Guo, Alex Miller, Jean‐Antoine Ribeil, David Davidson, Mohammed Asmal, Mark C. Walters, John F. Tisdale   +14 more
wiley   +1 more source

Monitoring the transition of patients on biologics in rheumatoid arthritis: Consensus guidance for pharmacists

Pharmacy Practice, 2021
Background: Recent approvals for novel agents such as the small molecule Janus kinase inhibitors (JAKi), combined with the advent of biosimilars has widened the gamut of available therapeutic options in the treatment of rheumatoid arthritis (RA).
Denis Choquette , Jonathan Chan , Mohammad Bardi , Carolyn Whiskin, Gabriel Torani , Brennan K. Smith , Aaron Sihota   +6 more
doaj   +1 more source

SurvLatent ODE : A Neural ODE based time-to-event model with competing risks for longitudinal data improves cancer-associated Venous Thromboembolism (VTE) prediction [PDF]

arXiv, 2022
Effective learning from electronic health records (EHR) data for prediction of clinical outcomes is often challenging because of features recorded at irregular timesteps and loss to follow-up as well as competing events such as death or disease progression.
arxiv