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Birds nested in Arctic alongside dinosaurs

Science Daily: Pharmacology News

The same was true 73 million years ago, according to a new article. Spring in the Arctic brings forth a plethora of peeps and downy hatchlings as millions of birds gather to raise their young. The paper documents the earliest-known example of birds nesting in the polar regions.

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How to Configure ServiceNow Knowledge Articles for Microsoft Graph Connector

Perficient: Drug Development

If you use ServiceNow as your knowledge management platform, you might want to make your knowledge articles searchable and accessible from Microsoft Search. By connecting your ServiceNow knowledge articles to Microsoft Search, you can enable your users to find and request them directly from the Microsoft 365 apps.

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Will AI tools revolutionize public health? Not if they continue following old patterns, researchers argue

Science Daily: Pharmacology News

A new article shares findings from an extensive literature analysis of AI's current trajectory in health care.

Research 323
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Participants of pioneering CRISPR gene editing trial see vision improve

Science Daily: Pharmacology News

About 79% of clinical trial participants experienced measurable improvement after receiving experimental, CRISPR-based gene editing that is designed to fix a rare form of blindness, according to a new article.

Trials 360
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Can we live on our planet without destroying it?

Science Daily: Pharmacology News

A new article tackles these questions. How much land, water, and other resources does our lifestyle require? And how can we adapt this lifestyle to stay within the limits of what the Earth can give?

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Covalent Proximity Inducers

Covalent Modifiers

Nir London Chemical Reviews Article ASAP DOI: 10.1021/acs.chemrev.4c00570 4c00570 Molecules that are able to induce proximity between two proteins are finding ever increasing applications in chemical biology and drug discovery.

Drugs 162
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Sharp look into Ockham's razor

Science Daily: Pharmacology News

A new article argues that by relying too much on parsimony in modeling, scientists make mistakes and miss opportunities.

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