Long-term lithium therapy remains the most effective maintenance treatment for bipolar disorder, yet it poses a significant risk of progressive renal impairment in a subset of patients. Early ...
A machine learning-driven framework accurately predicts MPA exposure and supports individualized dosing in childhood-onset LN.
Read more about AI and machine learning drive digital transformation across global mining operations on Devdiscourse ...
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ABSTRACT: Accurate prediction of survey response rates is essential for optimizing survey design and ensuring high-quality data collection. Traditional methods often struggle to capture the complexity ...
Multimodal Artificial Intelligence Model From Baseline Histopathology Adds Prognostic Information for Distant Recurrence Assessment in Hormone Receptor–Positive/Human Epidermal Growth Factor Receptor ...
Machine learning, a key enabler of artificial intelligence, is increasingly used for applications like self-driving cars, medical devices, and advanced robots that work near humans — all contexts ...
Quantum computation has the potential for exponential speedup of classical systems in some applications, such as cryptography, simulation of molecular behavior, and optimization. Nevertheless, quantum ...
The Minnesota Democratic–Farmer–Labor Party revoked its endorsement of progressive state Sen. Omar Fateh to be the next mayor of Minneapolis, a highly surprising endorsement that came at the expense ...
This illustration draws a parallel between quantum state tomography and natural language modeling. In quantum tomography, structured measurements yield probability outcomes that are aggregated to ...
Abstract: Ensuring reliability in modern computing systems requires efficient and accurate error detection mechanisms. This paper explores a machine learning based ...
The Bronchial Provocation Test (BPT) is the gold standard for diagnosing airway hyperresponsiveness (AHR) in suspected asthma patients but is time-consuming and resource-intensive. This study explores ...