Sat.Nov 16, 2024

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NASA satellites reveal abrupt drop in global freshwater levels

Science Daily: Pharmacology News

The Earth's total amount of freshwater dropped abruptly starting in May 2014 and has remained low ever since. The shift could indicate Earth's continents have entered a persistently drier phase.

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Bloated After That Holiday Meal? What's Normal, What's Not

Drugs.com

SATURDAY, Nov. 17, 2024 -- As the holidays approach, most folks are familiar with a common side effect of the overindulgence that can come with all those meals with family and friends: Bloating.Luckily, Baylor College of Medicine gastroenterologist.

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Earliest evidence of humans using fire to shape the landscape of Tasmania

Science Daily: Pharmacology News

Some of the first human beings to arrive in Tasmania, over 41,000 years ago, used fire to shape and manage the landscape, about 2,000 years earlier than previously thought.

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A Comprehensive Guide to IDMC Metadata Extraction in Table Format

Perficient: Drug Development

Metadata Extraction: IDMC vs. PowerCenter When we talk about metadata extraction, IDMC (Intelligent Data Management Cloud) can be trickier than PowerCenter. Let’s see why. In PowerCenter, all metadata is stored in a local database. This setup lets us use SQL queries to get data quickly and easily. It’s simple and efficient. In contrast, IDMC relies on the IICS Cloud Repository for metadata storage.

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From Diagnosis to Delivery: How AI is Revolutionizing the Patient Experience

Speaker: Simran Kaur, Founder & CEO at Tattva Health Inc.

The healthcare landscape is being revolutionized by AI and cutting-edge digital technologies, reshaping how patients receive care and interact with providers. In this webinar led by Simran Kaur, we will explore how AI-driven solutions are enhancing patient communication, improving care quality, and empowering preventive and predictive medicine. You'll also learn how AI is streamlining healthcare processes, helping providers offer more efficient, personalized care and enabling faster, data-driven

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Some Thoughts on Splitting Chemical Datasets

Practical Cheminformatics

Introduction Dataset splitting is one topic that doesn’t get enough attention when discussing machine learning (ML) in drug discovery. The data is typically divided into training and test sets when developing and evaluating an ML model. The model is trained on the training set, and its performance is assessed on the test set. If hyperparameter tuning is required, a validation set is also included.

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