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3 Answers 0 Votes
What deep learning strategies best balance accuracy and interpretability in medical image segmentation for disease progression analysis?
Medical imaging (CT/MRI) segmentation is vital for tracking disease, but black-box models reduce clinical trust. Methods like explainable AI (XAI), uncertainty quantification, and hybrid modeling may bridge this gap. What approaches are most promising?
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5 Answers 2 Votes
When the policy exists to share postprints freely on personal sites, why do researchers often refrain from doing so, and what incentives or constraints drive that hesitation?
There has been extensive discussion about the funding model for research publications. Large publishing houses do not fund research themselves; instead, they charge substantial subscription fees or open-access publishing fees. Keeping articles behind paywalls can impede open science and broad access to knowledge. Nevertheless, many publishers grant authors the right to share postprints of their papers immediately on their non-commercial personal blogs or websites. Despite this permission,...
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1 Answer 0 Votes
What are essential funding barriers to get an ambitious and pertinent research proposal funded, and how to overcome them ?
We are facing financial issues to perform our African GWAS HBV Research Proposal for around ten years ago. Maybe our topic doesn't meet funders needs or interests. I would like to know my peers' view about the question.
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6 Answers 4 Votes
How might AI-assisted peer review tools reshape scientific publishing, and what safeguards should be implemented to maintain review quality while addressing the increasing volume of submissions?
The peer-reviewing process is being faced with ever-growing challenges as submission rates are still rising exponentially in all areas. Journal editors are faced with the challenge of getting capable reviewers who are ready to volunteer their time, with a result being delays in reviewing, reviewer exhaustion, and worse, compromised quality. Meanwhile, AI technologies are accelerating their ability to review scientific manuscripts for methodology, statistical fitting, plagiarism screenings,...
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9 Answers 2 Votes
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18 Answers 8 Votes
Is Oxidative Stress sufficient by itself as an indicator and compelling basis for a carcinogenic concern?
Oxidative Stress as a Precursor and Mechanism for Carcinogenicity IARC and others (Smith et al) have identified 10 key characteristics which may be used/considered in the evaluation of carcinogenicity, one of which is oxidative stress. How strong or compelling, if at all, would the data need to be for considering OS as a putative and defensible MOA for carcinogenicity, or would there need to be other tangential/correlative data (e.g., tumors) available. In other words, is OS sufficient by...
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2 Answers 0 Votes
How should SciPinion improve their account profile page?
Currently, an account's profile includes a CV, education, employment. It also asks for an H-index but does not specify which source. It also excludes information about research output in general and limits itself seemingly to journal articles, chapters, and patents. It could ask about data sets, scientific software, and other research output forms. It can allow people to list an ORCID, ROR (institutes), Mastodon/Twitter, GitHub/GitLab accounts, etc, allowing people to establish a much richer...
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