1/ AI invents scientific citations. That stops today. We've launched the SciWeave MCP connection so you can speed up your research and teaching tasks 100X Free to start. Install in 30 seconds. 🔗 sciweave.com/web/mcp

A literature search can return hundreds of papers. But only a handful usually shape how a field actually thinks about a problem. How do researchers identify those influential studies? This blog explains the signals to look for: desci.com/blog/which-papers-…

Causality is where much business research quietly becomes fragile. Strong language often outruns what observational data and identification strategies can actually support. The issue is rarely bad methods. It is how confidently results are interpreted. sciweave.com/blog/what-busin…

Economic and finance claims often look more definitive than the underlying evidence really is. Statistical significance and robustness checks can create confidence that outpaces identification, assumptions, or data limits. How to read these claims with discipline: desci.com/blog/how-to-evalua…

SciWeave is now live on Android 📱 Our AI research assistant helps you find, analyze, and understand academic studies faster than ever. Download: play.google.com/store/apps/d…

Bias in peer review is a known problem. But what happens when the system is: • transparent • structured • data-driven 👉 You get measurable fairness. See how DeSci Publish is changing the game: desci.com/blog/automatic-fai…

Big news from DeSci Labs 🚀 SciWeave is now available as a mobile app on iOS. Search, analyze, and understand academic research anytime, anywhere. 📱 Download here: apps.apple.com/eg/app/sciwea… Android coming soon.

Medical AI is not one category anymore. Some tools triage scans. Others reduce documentation burden. Others help researchers interrogate the evidence behind AI claims. What clinicians and researchers are actually using and where each tool fits. Read more: desci.com/blog/5-medical-ai-…

AI diagnostic tools often arrive looking more clinically ready than the evidence really supports. Strong metrics and regulatory clearance can create confidence that proves fragile in real-world settings. The key question is not whether evidence exists, but whether it matches the intended use. What clinicians should check before trusting an AI tool: desci.com/blog/what-clinicia…

Medical consensus often appears more settled than the evidence behind it. In reality, alignment in medicine frequently forms while data are still evolving, driven by the need to make decisions under uncertainty. This piece examines how consensus actually takes shape and why that timing matters. desci.com/blog/how-consensus…

Disagreeing with a research paper is normal. Handling that disagreement well is what separates careful scientists from reactive ones. From grant panels to peer review, here is how experienced researchers read papers they strongly question. Read more: desci.com/blog/how-to-read-a…

Many “highly novel” papers age badly. Many foundational ideas once looked incremental and boring. That’s not a failure of reviewers. It’s what happens when novelty becomes a proxy for value in an overloaded system. The hidden cost of chasing novelty in research 👇 sciweave.com/web/blog-post/t…

“Best practices” sound safe. That’s part of the problem. Many were created to fix specific failures, then frozen into rules that outlived their context. What remains often looks rigorous without being especially informative. Why fit matters more than templates in research 👇 sciweave.com/web/blog-post/t…

Not all disagreement disappears with more data. In many mature fields, conflicting evidence is the norm, not a failure. The real skill is learning how to reason inside that uncertainty without forcing false closure. This piece is about how experienced scientists actually do that: sciweave.com/web/blog-post/w…