A machine learning model incorporating functional assessments predicts one-year mortality in older patients with HF and improves risk stratification beyond established scores. Functional status at ...
AI: How does this technological revolution fit with the pharmaceutical regulators who oversee the pharmaceutical sector at ...
Built-in functions, UDFs, materialized results, and integrations with ML and AI models make streaming SQL a compelling choice ...
Background Early graft failure within 90 postoperative days is the leading cause of mortality after heart transplantation. Existing risk scores, based on linear regression, often struggle to capture ...
| What if you could stop financial waste before it starts? Learn how unifying your claims tech and intelligence is changing ...
Learn how sportsbooks set odds. We break down odds compilation engines, from raw data ingestion and probability models to ...
The future of global connectivity depends on logistics that anticipate challenges, adapt quickly, and deliver without fail. That is the role DP World plays every day as an enabler of the world's data, ...
PCMag on MSN
Apple Final Cut Pro
Professional video editing, simplified ...
M4Q (R2) is a globally harmonized framework for structuring quality information in medicinal product registration ...
The clinical trials landscape will continue evolving toward greater decentralization, enhance patient-centricity, and increased global diversification. Industry projections suggest that by 2025, ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results