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    What happens between first symptoms and first acute exacerbation of COPD – observational study of routine data and patient survey by Alex Bottle, Alex Adamson, Xiubin Zhang, Benedict Hayhoe, Jennifer K Quint

    Published 2024-10-01
    “…Future work It will be important to expand the COVID-era cohort with longer follow-up and augment general practitioner data for better prediction. Study registration This study is registered as Researchregistry.com: researchregistry4762. …”
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  4. 144

    ML Auditing and Reproducibility: Applying a Core Criteria Catalog to an Early Sepsis Onset Detection System by Markus Schwarz, Ludwig Christian Hinske, Ulrich Mansmann, Fady Albashiti

    Published 2025-01-01
    “…Methods: The assessment of the ML algorithm behind the sepsis prediction system takes place in a kind of external audit. …”
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  5. 145

    Severe Weather Forecasting via the Sole Use of Satellite Data by Brianna D'Urso, Sheikh Rabiul Islam, Kamruzzaman Sarker, Ingrid Russell

    Published 2024-05-01
    “…This method is used on Atmospheric Motion Vectors (AMVs) derived from multispectral satellite telemetry via Optical flow Code for Tracking, Atmospheric motion vector, and Nowcasting Experiments (OCTANE) in the construction of a dataset capable of use in prediction of future movements of clouds.…”
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    A Multi-Input Neural Network Model for Accurate MicroRNA Target Site Detection by Mohammad Mohebbi, Amirhossein Manzourolajdad, Ethan Bennett, Phillip Williams

    Published 2025-03-01
    “…(1) Background: MicroRNAs are non-coding RNA sequences that regulate cellular functions by targeting messenger RNAs and inhibiting protein synthesis. …”
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    The precision of attention selection during reward learning influences the mechanisms of value-driven attention by Oudeng Jia, Qingsong Tan, Sihan Zhang, Ke Jia, Mengyuan Gong

    Published 2025-07-01
    “…Abstract Reward-predictive items capture attention even when task-irrelevant. …”
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  11. 151

    Toward a thermodynamic theory of evolution: a theoretical perspective on information entropy reduction and the emergence of complexity by Carlos Mendoza Montano

    Published 2025-07-01
    “…Empirical support is drawn from diverse domains, including autocatalytic networks in prebiotic chemistry, genome streamlining in microbial evolution, predictive coding in neural systems, and ecosystem-level energy-information coupling. …”
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  12. 152

    Features of mammalian microRNA promoters emerge from polymerase II chromatin immunoprecipitation data. by David L Corcoran, Kusum V Pandit, Ben Gordon, Arindam Bhattacharjee, Naftali Kaminski, Panayiotis V Benos

    Published 2009-01-01
    “…We showed that miRNA genes can be transcribed from promoters located several kilobases away and that their promoters share the same general features as those of protein coding genes. …”
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  13. 153

    Suboptimal but intact integration of Bayesian components during perceptual decision-making in autism by Laurina Fazioli, Bat-Sheva Hadad, Rachel N. Denison, Amit Yashar

    Published 2025-01-01
    “…This hypothesis has gained momentum in recent years, partly because it can be implemented both at the computational level, as in Bayesian perception, and at the level of canonical neural microcircuitry, as in predictive coding. However, empirical investigations have yielded conflicting results with evidence remaining limited. …”
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    New methods, old questions: advancing the study of unconscious perception by Mikel Jimenez, Antonio Prieto, Pedro R. Montoro, José Antonio Hinojosa, José Antonio Hinojosa, José Antonio Hinojosa, Markus Kiefer

    Published 2025-08-01
    “…Finally, we emphasize the need for brain-based approaches to unconscious perception and discussed some promising studies in this area, while also highlighting the role of individual differences and alternative frameworks such as predictive coding and active inference views in future research. …”
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  16. 156

    Identification of patients undergoing chronic kidney replacement therapy in primary and secondary care data: validation study based on OpenSAFELY and UK Renal Registry by Ben Goldacre, Dorothea Nitsch, Laurie A Tomlinson, Bang Zheng, Brian MacKenna, Amir Mehrkar, Lucy Plumb, Retha Steenkamp, Shalini Santhakumaran, Sebastian Bacon, Viyaasan Mahalingasivam, Caroline Morton, Louis Fisher, Edward PK Parker, Sue Lyon, Rob Konstant-Hambling

    Published 2024-08-01
    “…Objective To validate primary and secondary care codes in electronic health records to identify people receiving chronic kidney replacement therapy based on gold standard registry data.Design Validation study using data from OpenSAFELY and the UK Renal Registry, with the approval of NHS England.Setting Primary and secondary care electronic health records from people registered at 45% of general practices in England on 1 January 2020, linked to data from the UK Renal Registry (UKRR) within the OpenSAFELY-TPP platform, part of the NHS England OpenSAFELY covid-19 service.Participants 38 745 prevalent patients (recorded as receiving kidney replacement therapy on 1 January 2020 in UKRR data, or primary or secondary care data) and 10 730 incident patients (starting kidney replacement therapy during 2020), from a population of 19 million people alive and registered with a general practice in England on 1 January 2020.Main outcome measures Sensitivity and positive predictive values of primary and secondary care code lists for identifying prevalent and incident kidney replacement therapy cohorts compared with the gold standard UKRR data on chronic kidney replacement therapy. …”
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  17. 157

    Developing Laterality-Specific Computable Phenotypes from Electronic Health Record Data, Employing Treatment-Warranted Diabetic Macular Edema as a Use Case by Kaili Ding, MBBS, MS, Tracy Z. Lang, BS, Roberta McKean-Cowdin, PhD, Hossein Ameri, MD, PhD, Narsing A. Rao, MD, Brian C. Toy, MD

    Published 2025-09-01
    “…Purpose: To develop a general algorithm employing structured and unstructured electronic health record (EHR) data to identify laterality-specific treatment-warranted disease more accurately at the longitudinal eye level. …”
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    Intrinsic brain mapping of cognitive abilities: A multiple-dataset study on intelligence and its components by Simone Di Plinio, Mauro Gianni Perrucci, Grazia Ferrara, Maria Rita Sergi, Marco Tommasi, Mariavittoria Martino, Aristide Saggino, Sjoerd JH Ebisch

    Published 2025-04-01
    “…A broad, low-resolution 'task-positive' network emerged as predictive of full-scale IQ scores, indicating a hierarchical brain-behavior coding. …”
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