The ability to actively manage data is the conduit to success in today's healthcare environment – maintaining engagement with ...

These teams are then deployed into each portfolio company to carry out the digital transformation by setting up data ...

The demand for real-time, accurate, and predictive financial data has surged, shifting the role of accountants from "data ...

Wealth management is moving from experienced-based advice to a data- and AI-powered approach that gives clients quicker ...

The construction industry from commercial, infrastructure, and renovation projects stands at a transformative crossroads, where traditional project management methodologies converge with advanced data ...

When it comes to protecting fragile coastal ecosystems, the difference between action taken too late and action taken just in time can mean the collapse of an entire environment. Environmental ...

1 Jianyang Traditional Chinese Medicine Hospital Nursing Department, Chengdu, China 2 Nursing Department, Chongqing JiangJin District Hospital of Chinese Medicine, Chengdu, China Objective: To ...

Background: Burn injuries are a common cause of trauma globally, with extensive burns (≥ 50% total body surface area burned) associated with high rates of sepsis and mortality. This study aims to ...

A new model using genomic and pathological data improves prognostic accuracy for advanced NSCLC, aiding personalized treatment plans. Traditional indicators like tumor mutational burden and PD-L1 ...

R, Java, NLTK, NLP, Predictive Analytics, Deep Learning, Cloud Services, RESTful APIs, Hadoop, Spark, Hive, Kafka,PyTorch, Keras, TensorFlow, Scikitlearn, SpaCy ...

Abstract: Artificial intelligence (AI) is increasingly leveraged for decision support in complex, high-stakes environments such as medical triage. Training AI models typically relies on aligning with ...