Posts Tagged ‘4research’
The Role of Kt/V and Creatinine clearance on Assisting Optimization of Serum Phosphorus Levels among Patients on PD.
Link: https://doi.org/10.34067/KID.0000000618 Authors: Uribarri, Jaime; Guedes, Murilo; Diaz Bessone, Maria Ines; Chan, Lili; De La Torre, Andres; Mermelstein, Ariella; Garcia-Garcia, Guillermo; Raimann, Jochen; Moraes, Thyago; Peters, Vincent; Konings, Stijn; Farrell, Doug; Sharma, Shuchita; Guinsburg, Adrian; Kotanko, Peter Abstract: Hyperphosphatemia is associated with poor outcome and is still very common in peritoneal dialysis (PD) patients. Since…
Read MoreMeasurement of circulating viral antigens post-SARS-CoV-2 infection in a multicohort study.
Link: https://doi.org/S1198-743X(24)00432-4 Authors: Swank, Zoe; Borberg, Ella; Chen, Yulu; Senussi, Yasmeen; Chalise, Sujata; Manickas-Hill, Zachary; Yu, Xu G; Li, Jonathan Z; Alter, Galit; Henrich, Timothy J; Kelly, J Daniel; Hoh, Rebecca; Goldberg, Sarah A; Deeks, Steven G; Martin, Jeffrey N; Peluso, Michael J; Talla, Aarthi; Li, Xiaojun; Skene, Peter; Bumol, Thomas F; Torgerson, Troy R;…
Read MoreAutomated Transformation of Unstructured Cardiovascular Diagnostic Reports into Structured Datasets Using Sequentially Deployed Large Language Models.
Link: https://doi.org/10.1101/2024.10.08.24315035 Authors: Shankar, Sumukh Vasisht; Dhingra, Lovedeep S; Aminorroaya, Arya; Adejumo, Philip; Nadkarni, Girish N; Xu, Hua; Brandt, Cynthia; Oikonomou, Evangelos K; Pedroso, Aline F; Khera, Rohan Abstract: Rich data in cardiovascular diagnostic testing are often sequestered in unstructured reports, with the necessity of manual abstraction limiting their use in real-time applications in patient…
Read MoreA foundation model for clinician-centered drug repurposing.
Link: https://doi.org/10.1038/s41591-024-03233-x Authors: Huang, Kexin; Chandak, Payal; Wang, Qianwen; Havaldar, Shreyas; Vaid, Akhil; Leskovec, Jure; Nadkarni, Girish N; Glicksberg, Benjamin S; Gehlenborg, Nils; Zitnik, Marinka Abstract: Drug repurposing-identifying new therapeutic uses for approved drugs-is often a serendipitous and opportunistic endeavour to expand the use of drugs for new diseases. The clinical utility of drug-repurposing artificial…
Read MoreUnveiling the Future of Postoperative Outcomes Prediction: The Role of Machine Learning and Trust in Healthcare.
Link: https://doi.org/10.1007/s10916-024-02106-7 Authors: Hofer, Ira S; Wax, David B Abstract:
Read MoreAdvancing rheumatology with natural language processing: insights and prospects from a systematic review.
Link: https://doi.org/10.1093/rap/rkae120 Authors: Omar, Mahmud; Naffaa, Mohammad E; Glicksberg, Benjamin S; Reuveni, Hagar; Nadkarni, Girish N; Klang, Eyal Abstract: Natural language processing (NLP) and large language models (LLMs) have emerged as powerful tools in healthcare, offering advanced methods for analysing unstructured clinical texts. This systematic review aims to evaluate the current applications of NLP and…
Read MoreClosing the gap between open source and commercial large language models for medical evidence summarization.
Link: https://doi.org/10.1038/s41746-024-01239-w Authors: Zhang, Gongbo; Jin, Qiao; Zhou, Yiliang; Wang, Song; Idnay, Betina; Luo, Yiming; Park, Elizabeth; Nestor, Jordan G; Spotnitz, Matthew E; Soroush, Ali; Campion, Thomas R; Lu, Zhiyong; Weng, Chunhua; Peng, Yifan Abstract: Large language models (LLMs) hold great promise in summarizing medical evidence. Most recent studies focus on the application of proprietary…
Read MoreA Novel Digital Twin Strategy to Examine the Implications of Randomized Clinical Trials for Real-World Populations.
Link: https://doi.org/10.1101/2024.03.25.24304868 Authors: Thangaraj, Phyllis M; Shankar, Sumukh Vasisht; Huang, Sicong; Nadkarni, Girish N; Mortazavi, Bobak J; Oikonomou, Evangelos K; Khera, Rohan Abstract: Randomized clinical trials (RCTs) are essential to guide medical practice; however, their generalizability to a given population is often uncertain. We developed a statistically informed Generative Adversarial Network (GAN) model, RCT-Twin-GAN, that…
Read MoreDerivation, external and clinical validation of a deep learning approach for detecting intracranial hypertension.
Link: https://doi.org/10.1038/s41746-024-01227-0 Authors: Gulamali, Faris; Jayaraman, Pushkala; Sawant, Ashwin S; Desman, Jacob; Fox, Benjamin; Chang, Annette; Soong, Brian Y; Arivazagan, Naveen; Reynolds, Alexandra S; Duong, Son Q; Vaid, Akhil; Kovatch, Patricia; Freeman, Robert; Hofer, Ira S; Sakhuja, Ankit; Dangayach, Neha S; Reich, David S; Charney, Alexander W; Nadkarni, Girish N Abstract: Increased intracranial pressure (ICP)…
Read MoreIn Response.
Link: https://doi.org/10.1213/ANE.0000000000007177 Authors: Feinstein, Max; Katz, Daniel; Demaria, Samuel; Hofer, Ira S Abstract:
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