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Original article

Machine Learning models for cardiovascular disease: A review on early diagnosis performance
January 26, 2025 CDT
Machine Learning models for cardiovascular disease: A review on early diagnosis performance
Anirudh ChintaluriMatthew Radzihovsky

This paper determined the best Machine Learning model which could predict and rate the severity of Coronary Artery Disease based on features obtained from a publicly available dataset.

Evaluating macroscopic traffic flow models using real vehicle trajectory data
January 20, 2025 CDT
Evaluating macroscopic traffic flow models using real vehicle trajectory data
Lauren Park

This paper evaluated two macroscopic traffic flow models to predict the flow of traffic along a congested stretch of the US 101 highway in Los Angeles, California.

Advanced Machine Learning approach for CO2 emission forecasting: leveraging global patterns to overcome data insufficiency and improve model accuracy
January 10, 2025 CDT
Advanced Machine Learning approach for CO2 emission forecasting: leveraging global patterns to overcome data insufficiency and improve model accuracy
Gordon Hung

This paper used the interconnectedness of global Carbon dioxide emission patterns and trained seven machine learning models to forecast Taiwan’s Carbon dioxide emission trends.

The untapped potential of the endophytic actinomyces, Streptomyces scabiei, in producing antibiotic and antitumor secondary metabolites
January 10, 2025 CDT
The untapped potential of the endophytic actinomyces, Streptomyces scabiei, in producing antibiotic and antitumor secondary metabolites
Defne Dingiloglu

Computational methods were used to determine if a high strain-specific Biosynthetic-Gene-cluster (BGC) count in Streptomyces scabiei was associated with a greater BGC diversity and a larger number of secondary metabolites.

January 10, 2025 CDT
A multivariable regression model forecasting the rapid intensification of hurricanes
Graham Houghton

This paper investigated several factors that contribute to hurricane rapid intensification. The resulting model produced an acceptable forecast success when applied to recent Atlantic storm history.

December 29, 2024 CDT
A rapid detection method of replication-competent plasmid DNA from COVID-19 mRNA vaccines for quality control
Tyler J WangAlex KimKevin Kim

DNA contamination is the primary reason that undermines public trust in the quality of mRNA vaccines. We report a method to detect residual replication-competent plasmid DNA present in mRNA vaccines.

Delay in biologic therapy and patient outcomes in patients with rheumatological conditions
December 28, 2024 CDT
Delay in biologic therapy and patient outcomes in patients with rheumatological conditions
Rohan GandhiHeather YannuzziMelissa Sanders

Delayed versus on-time Abatacept infusion therapy visits were compared with respect to patient outcomes measures. The delayed administration deviation from the labeled schedule was associated with worsened patient outcomes.

Automated classification and segmentation of Intracranial Hemorrhages using 2D Convolutional Neural Networks and U-Net architecture on Computed Tomography scans
December 23, 2024 CDT
Automated classification and segmentation of Intracranial Hemorrhages using 2D Convolutional Neural Networks and U-Net architecture on Computed Tomography scans
Shruti Goteti

This research utilized advanced Convolutional Neural Networks and a U-Net architecture to automate the classification and segmentation of Intracranial Hemorrhages in Computed Tomography scans to improve diagnostic accuracy and efficiency.

Using the Patient Education Materials Assessment Tool (PEMAT) to assess Parkinson’s Disease informational content websites
December 03, 2024 CDT
Using the Patient Education Materials Assessment Tool (PEMAT) to assess Parkinson’s Disease informational content websites
Parth AshokJerald G LimJayapalli R BapurajMaria MasottiChristopher C Spears

This study performed an assessment of Parkinson’s disease (PD) informational content websites using the grade level reading method and the Patient Education Materials Assessment Tool (PEMAT).

Enhancing the COVID-19 diagnostic for patients using machine learning and voting classifier approaches
December 03, 2024 CDT
Enhancing the COVID-19 diagnostic for patients using machine learning and voting classifier approaches
Brian TsengAlejandro M EstradaNathan HsuRaaief RaaiefHonglun XuTzu L TsengSolayman H Emon

This study found that ensemble methods including a voting classifier were effective in mitigating individual Machine Learning model limitations and achieving robust performance for the diagnosis of COVID-19.

November 16, 2024 CDT
Pulmonary tuberculosis deaths in high-burden India: replacing manual X-ray readouts with computer vision systems.
Melis E OzvardarJennifer Otiono

This study explored the potential of computer vision systems as the first and only readers of chest X-rays to replace radiologists for diagnosing active pulmonary TB in India.

November 13, 2024 CDT
Leveraging surrogate modeling using synthetic data for energy efficient decision-making in residential buildings
Mannat KaurDebayan Gupta

Thermal building simulations play an important role in achieving energy efficiency. We explored the viability of replacing the simulation modeling approach with Machine learning (ML) models.