Zubel: In terms of analytics and AI, faster clinical data monitoring is already achievable. Predictive modeling is improving, but accuracy remains a challenge, particularly in oncology.

Predictive modeling technology is capable of sifting through massive data sets and uncovering the patterns and trends that correlate the target data elements to some outcome(s) of interest. Paul ...

February 2025 — A new academic study has shed light on how predictive modeling could revolutionize healthcare cost management in the United States, offering data-driven strategies to make value-based ...

The Data Analysis Software Market was valued at USD 300 billion in 2024 and is projected to reach USD 500 billion by 2033, growing at a CAGR of 7.2% during the forecast period from 2026 to 2033. This ...

DataZapp brings AI and machine learning to deliver affordable, predictive demand generation and marketing data for home ...

In mission-driven organizations—whether leading a national non-profit or scaling an advocacy campaign—the most precious resource isn’t funding. It’s focus. Every moment spent chasing the wrong lead ...

株式会社primeNumberでChief Product Officerを務めている小林寛和と申します。 私は新卒から今までデータエンジニアとしてキャリアを歩んできました。新卒で入った事業会社ではデータ分析基盤の新規構築をリードし、現在ではtroccoというデータエンジニアのため ...

Detailed environmental data allows coastal change to be identified early, when response options are broader and more ...