The U.S. healthcare system generates massive volumes of data spanning patients, treatments, and billing but real datasets are often inaccessible due to privacy laws like HIPAA. This project was ...

Abstract: Photovoltaic (PV) modules are crucial components in solar power generation, where their efficiency and safety can be compromised by various defects. Infrared images of PV modules can be used ...

Custom market research has always been notoriously slow and costly to conduct, often requiring many months and significant investments. As a result, marketers have made many strategic decisions ...

StratifAI, the AI precision oncology company behind the Polaris™ platform, today announced its selection for the Memorial Sloan Kettering (MSK) iHub Challenge 2025 Cohort program. This engagement will ...

ABSTRACT: Mathematical optimization is a fundamental aspect of machine learning (ML). An ML task can be conceptualized as optimizing a specific objective using the training dataset to discern patterns ...

The comparison of model outputs with ground-measured data from reference stations ensures the accuracy of solar models and reduces uncertainty across all climates. Image: Solargis. When selecting ...

There’s been a “targeted, surgical removal of data sets, or elements of data sets, that are not aligned with the administration’s priorities,” said Denice Ross at the Federation of American Scientists ...

In this tutorial, we delve into the creation of an intelligent Python-to-R code converter that integrates Google’s free Gemini API for validation and improvement suggestions. We start by defining the ...

#!/usr/bin/python import os from langfuse import Langfuse from urllib.parse import quote # zouding-org os.environ["LANGFUSE_PUBLIC_KEY"] = "pk-xxx" os.environ ...

Use of a large language model (LLM) for pan-cancer automated detection of anti-cancer therapy toxicities and translational toxicity research. Computational pathology to predict docetaxel benefit in ...