A novel multi-task XGBoost model shows robust overall performance in predicting antimicrobial resistance in common gram-negative pathogens.

Cardiovascular disease continues to be the leading cause of death worldwide. To save lives, constantly improving diagnostic ...

The development of humans and other animals unfolds gradually over time, with cells taking on specific roles and functions ...

A deep learning model using retinal images obtained during retinopathy of prematurity (ROP) screening may be used to predict diagnosis of bronchopulmonary dysplasia (BPD) and pulmonary hypertension ...

Recent study reveals machine learning's potential in predicting the strength of carbonated recycled concrete, paving the way ...

Model predicts effect of mutations on sequences up to 1 million base pairs in length and is adept at tackling complex ...

Enterprises that continue to layer AI onto existing analytics frameworks will continue to see incremental gains. Those that ...

Cardiovascular disease continues to be the leading cause of death worldwide. To save lives, constantly improving diagnostic and risk assessments is ...

Spinal metastasis, the spread of cancer to the spine, is a frequent complication in advanced cancer. It often causes severe ...

Data is fundamental to hydrological modeling and water resource management; however, it remains a major challenge in many ...

Machine learning models accurately predict survival after surgery for upper tract urothelial cancer, supporting personalised follow up and adjuvant treatment decisions.

Spinal metastasis, or the spread of cancer to the spine, is a frequent complication of advanced cancer. Surgery may be an option for patients with a favorable prognosis, while palliative care may be ...