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View article: Roadmap on deep learning for microscopy
Roadmap on deep learning for microscopy Open
Through digital imaging, microscopy has evolved from primarily being a means for visual observation of life at the micro- and nano-scale, to a quantitative tool with ever-increasing resolution and throughput. Artificial intelligence, deep …
View article: Publisher Correction: Multimodal cell maps as a foundation for structural and functional genomics
Publisher Correction: Multimodal cell maps as a foundation for structural and functional genomics Open
View article: The impact of knowledge management on innovation in small and medium enterprises in Vietnam
The impact of knowledge management on innovation in small and medium enterprises in Vietnam Open
View article: Correction: Neurological diagnoses in hospitalized COVID-19 patients associated with adverse outcomes: A multinational cohort study
Correction: Neurological diagnoses in hospitalized COVID-19 patients associated with adverse outcomes: A multinational cohort study Open
[This corrects the article DOI: 10.1371/journal.pdig.0000484.].
View article: Couple-Based Carrier Screening: How Gene and Variant Considerations Impact Outcomes
Couple-Based Carrier Screening: How Gene and Variant Considerations Impact Outcomes Open
Background/Objectives: The clinical utility of reproductive carrier screening varies based on the genes tested, variant reporting policies, and the screened patient population. This study aims to evaluate the outcomes of carrier screening …
View article: Multimodal cell maps as a foundation for structural and functional genomics
Multimodal cell maps as a foundation for structural and functional genomics Open
View article: Đánh giá ảnh hưởng của việc bổ sung chế phẩm lên men Saccharomyces cerevisiae (SCFP) vào khẩu phần ăn đến mức độ biểu hiện gene cytokine ở gà thịt
Đánh giá ảnh hưởng của việc bổ sung chế phẩm lên men Saccharomyces cerevisiae (SCFP) vào khẩu phần ăn đến mức độ biểu hiện gene cytokine ở gà thịt Open
Nghiên cứu được tiến hành với mục đích đánh giá ảnh hưởng của việc bổ sung chế phẩm lên men Saccharomyces cerevisiae (SCFP) vào khẩu phần ăn đến mức độ biểu hiện của một số gene cytokine IL-12, IFN-γ và IL-13 ở gà thịt được nuôi trong điều…
View article: PRoDeliberation: Parallel Robust Deliberation for End-to-End Spoken Language Understanding
PRoDeliberation: Parallel Robust Deliberation for End-to-End Spoken Language Understanding Open
Spoken Language Understanding (SLU) is a critical component of voice assistants; it consists of converting speech to semantic parses for task execution. Previous works have explored end-to-end models to improve the quality and robustness o…
View article: PrE-Text: Training Language Models on Private Federated Data in the Age of LLMs
PrE-Text: Training Language Models on Private Federated Data in the Age of LLMs Open
On-device training is currently the most common approach for training machine learning (ML) models on private, distributed user data. Despite this, on-device training has several drawbacks: (1) most user devices are too small to train larg…
View article: Neurological diagnoses in hospitalized COVID-19 patients associated with adverse outcomes: A multinational cohort study
Neurological diagnoses in hospitalized COVID-19 patients associated with adverse outcomes: A multinational cohort study Open
Few studies examining the patient outcomes of concurrent neurological manifestations during acute COVID-19 leveraged multinational cohorts of adults and children or distinguished between central and peripheral nervous system (CNS vs. PNS) …
View article: openalexR: An R-Tool for Collecting Bibliometric Data from OpenAlex
openalexR: An R-Tool for Collecting Bibliometric Data from OpenAlex Open
Bibliographic databases are indispensable sources of information on published literature. OpenAlex is an open-source collection of academic metadata that enable comprehensive bibliographic analyses [@priem2022openalex]. In this paper, we p…
View article: Augmenting text for spoken language understanding with Large Language Models
Augmenting text for spoken language understanding with Large Language Models Open
Spoken semantic parsing (SSP) involves generating machine-comprehensible parses from input speech. Training robust models for existing application domains represented in training data or extending to new domains requires corresponding trip…
View article: Deep Learning Based Multimodal with Two-phase Training Strategy for Daily Life Video Classification
Deep Learning Based Multimodal with Two-phase Training Strategy for Daily Life Video Classification Open
In this paper, we present a deep learning based multimodal system for classifying daily life videos. To train the system, we propose a two-phase training strategy. In the first training phase (Phase I), we extract the audio and visual (ima…
View article: Supplementary Data from Functional Precision Medicine Provides Clinical Benefit in Advanced Aggressive Hematologic Cancers and Identifies Exceptional Responders
Supplementary Data from Functional Precision Medicine Provides Clinical Benefit in Advanced Aggressive Hematologic Cancers and Identifies Exceptional Responders Open
Supplementary Data containing the statistical analysis plan, Supplemental Figures 1-6 and Supplemental Tables 1 and 2
View article: Data from Functional Precision Medicine Provides Clinical Benefit in Advanced Aggressive Hematologic Cancers and Identifies Exceptional Responders
Data from Functional Precision Medicine Provides Clinical Benefit in Advanced Aggressive Hematologic Cancers and Identifies Exceptional Responders Open
Personalized medicine aims to match the right drug with the right patient by using specific features of the individual patient's tumor. However, current strategies of personalized therapy matching provide treatment opportunities for less t…
View article: Supplementary Data from Functional Precision Medicine Provides Clinical Benefit in Advanced Aggressive Hematologic Cancers and Identifies Exceptional Responders
Supplementary Data from Functional Precision Medicine Provides Clinical Benefit in Advanced Aggressive Hematologic Cancers and Identifies Exceptional Responders Open
Supplementary Data containing the statistical analysis plan, Supplemental Figures 1-6 and Supplemental Tables 1 and 2
View article: Data from Functional Precision Medicine Provides Clinical Benefit in Advanced Aggressive Hematologic Cancers and Identifies Exceptional Responders
Data from Functional Precision Medicine Provides Clinical Benefit in Advanced Aggressive Hematologic Cancers and Identifies Exceptional Responders Open
Personalized medicine aims to match the right drug with the right patient by using specific features of the individual patient's tumor. However, current strategies of personalized therapy matching provide treatment opportunities for less t…
View article: Roadmap on Deep Learning for Microscopy
Roadmap on Deep Learning for Microscopy Open
Through digital imaging, microscopy has evolved from primarily being a means for visual observation of life at the micro- and nano-scale, to a quantitative tool with ever-increasing resolution and throughput. Artificial intelligence, deep …
View article: Informative missingness: What can we learn from patterns in missing laboratory data in the electronic health record?
Informative missingness: What can we learn from patterns in missing laboratory data in the electronic health record? Open
View article: Acute respiratory distress syndrome after SARS-CoV-2 infection on young adult population: International observational federated study based on electronic health records through the 4CE consortium
Acute respiratory distress syndrome after SARS-CoV-2 infection on young adult population: International observational federated study based on electronic health records through the 4CE consortium Open
Purpose In young adults (18 to 49 years old), investigation of the acute respiratory distress syndrome (ARDS) after severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection has been limited. We evaluated the risk factors and …
View article: Development and Validation of a Prediction Model for Need for Massive Transfusion During Surgery Using Intraoperative Hemodynamic Monitoring Data
Development and Validation of a Prediction Model for Need for Massive Transfusion During Surgery Using Intraoperative Hemodynamic Monitoring Data Open
Importance Massive transfusion is essential to prevent complications during uncontrolled intraoperative hemorrhage. As massive transfusion requires time for blood product preparation and additional medical personnel for a team-based approa…
View article: PSUN145 Nursing Perception of Implementation of Continuous Glucose Monitoring Technology in Patients with Hyperglycemia During the COVID-19 Pandemic
PSUN145 Nursing Perception of Implementation of Continuous Glucose Monitoring Technology in Patients with Hyperglycemia During the COVID-19 Pandemic Open
Introduction During the COVID-19 pandemic, the FDA began allowing hospitals to use continuous glucose monitoring (CGM) on a "non-objection" basis in the inpatient setting to decrease direct patient contact and preserve personal protective …
View article: Author Correction: Spatiotemporal dissection of the cell cycle with single-cell proteogenomics
Author Correction: Spatiotemporal dissection of the cell cycle with single-cell proteogenomics Open
View article: Informative Missingness: What can we learn from patterns in missing laboratory data in the electronic health record?
Informative Missingness: What can we learn from patterns in missing laboratory data in the electronic health record? Open
Background In electronic health records, patterns of missing laboratory test results could capture patients’ course of disease as well as reflect clinician’s concerns or worries for possible conditions. These patterns are often understudie…
View article: Acute respiratory distress syndrome after SARS-CoV-2 infection on young adult population: international observational federated study based on electronic health records through the 4CE consortium
Acute respiratory distress syndrome after SARS-CoV-2 infection on young adult population: international observational federated study based on electronic health records through the 4CE consortium Open
Purpose In young adults (18 to 49 years old), investigation of the acute respiratory distress syndrome (ARDS) after severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection has been limited. We evaluated the risk factors and …
View article: Neurological Diagnoses in Hospitalized COVID-19 Patients Associated With Adverse Outcomes: A Multinational Cohort Study
Neurological Diagnoses in Hospitalized COVID-19 Patients Associated With Adverse Outcomes: A Multinational Cohort Study Open
View article: Authorship Correction: International Changes in COVID-19 Clinical Trajectories Across 315 Hospitals and 6 Countries: Retrospective Cohort Study
Authorship Correction: International Changes in COVID-19 Clinical Trajectories Across 315 Hospitals and 6 Countries: Retrospective Cohort Study Open
[This corrects the article DOI: 10.2196/31400.].
View article: Authorship Correction: International Changes in COVID-19 Clinical Trajectories Across 315 Hospitals and 6 Countries: Retrospective Cohort Study (Preprint)
Authorship Correction: International Changes in COVID-19 Clinical Trajectories Across 315 Hospitals and 6 Countries: Retrospective Cohort Study (Preprint) Open
UNSTRUCTURED Authorship Correction: International Changes in COVID-19 Clinical Trajectories Across 315 Hospitals and 6 Countries: Retrospective Cohort Study In “International Changes in COVID-19 Clinical Trajectories Across 315 Hospitals …
View article: PMLB v1.0: an open-source dataset collection for benchmarking machine learning methods
PMLB v1.0: an open-source dataset collection for benchmarking machine learning methods Open
Motivation Novel machine learning and statistical modeling studies rely on standardized comparisons to existing methods using well-studied benchmark datasets. Few tools exist that provide rapid access to many of these datasets through a st…
View article: Multinational characterization of neurological phenotypes in patients hospitalized with COVID-19
Multinational characterization of neurological phenotypes in patients hospitalized with COVID-19 Open