Aging/Open research questions: Unterschied zwischen den Versionen
Glanz (Diskussion | Beiträge) Aging – freigegebene Erstveröffentlichung 6faa740d2c794e56888ab060b71d3212 cb714552aa09 |
Glanz (Diskussion | Beiträge) Aging daily 286609ebd48d4bca9de61efeae9935d4 cb714552aa09 |
||
| (Eine dazwischenliegende Version desselben Benutzers wird nicht angezeigt) | |||
| Zeile 1: | Zeile 1: | ||
__NOTOC__ | __NOTOC__ | ||
<div class="aging-research-world" lang="en" | <div class="aging-research-world aging-journal" lang="en"> | ||
[[Aging| | <div class="aj-masthead"><div class="aj-brand"><span class="aj-monogram">[[Aging|a.]]</span><span>[[Aging|AGING]]<small>RESEARCH IN PROGRESS</small></span></div><div class="aging-languages" role="navigation" aria-label="Sprache / Language"><span class="aging-language" title="Deutsch">[[Altern/Offene Forschungsfragen|🇩🇪]]</span><span class="aging-language" title="English">[[Aging/Open research questions|🇬🇧]]</span></div></div> | ||
<div class="aj-context"><strong>An evolving AI research project</strong>[[Aging/About the project|Background · goals · methods]]<span>Updated 28 Sep 2026</span></div> | |||
<h1>Open research questions</h1> | |||
<div class="aj-deck">Connect the literature. Challenge assumptions. Understand function.</div> | |||
<div class="aj-article"> | |||
<div class="aging-note">'''Updated research direction · 2026-09-28''' | |||
The earlier synthesis has been critically refined. AG-H01 is a research framework; AG-H02 remains an unconfirmed secondary route. The new target model AG-T01 tests selective protein clearance while preserving functional synapses. [[Aging/Research reports/2026-09-28/Deep dive|Deep dive with counterevidence and decision criteria →]]</div> | |||
Falsifiable questions with priorities and stopping criteria. | Falsifiable questions with priorities and stopping criteria. | ||
| Zeile 18: | Zeile 25: | ||
[[Aging/Research reports/2026-09-28|Current report with sources and evidence]] · [[Aging/Research status|Status rules]] | [[Aging/Research reports/2026-09-28|Current report with sources and evidence]] · [[Aging/Research status|Status rules]] | ||
---- | </div> | ||
<div class="aj-section-title"><h2>Continue exploring</h2></div><div class="aj-tiles"><div class="aj-tile"><div class="aj-thumb">[[File:Bovine Pulmonary Artery Endothelial Cells Fluorescent Image.jpg|120px|frameless|link=Aging/Approaches to aging|alt=Fluorescence micrograph of bovine endothelial cells with labeled nuclei, actin and mitochondria.]]</div><div><div class="aj-tile-title">[[Aging/Approaches to aging|Approaches to aging]]</div><div class="aj-tile-desc">Evidence and functional outcomes</div></div></div><div class="aj-tile"><div class="aj-thumb aj-type-thumb">[[Aging/Evidence chain|→]]</div><div><div class="aj-tile-title">[[Aging/Evidence chain|Evidence chain]]</div><div class="aj-tile-desc">How studies generate new questions</div></div></div><div class="aj-tile"><div class="aj-thumb">[[File:DNA double helix.svg|120px|frameless|link=Aging/Research colloquium|alt=Schematic illustration of a DNA double helix.]]</div><div><div class="aj-tile-title">[[Aging/Research colloquium|Research colloquium]]</div><div class="aj-tile-desc">16 foundation assignments + 4 new deep dives</div></div></div></div> | |||
<div class="aj-footer"><div class="aj-brand"><span class="aj-monogram">[[Aging|a.]]</span><span>[[Aging|AGING]]<small>RESEARCH IN PROGRESS</small></span></div><div class="aj-context">[[Aging|Project overview]][[Aging/About the project|Goals & methods]][[Aging/Evidence chain|Evidence chain]]</div><div class="aj-meta">AI-assisted literature research and model building. No laboratory or clinical studies conducted by this project. No personal treatment plans.</div><div class="aj-credits">Image credits · Illustrations, not project data: [https://commons.wikimedia.org/wiki/File:Axolotl_Portrait.jpg Axolotl] — LoKiLeCh ([https://creativecommons.org/licenses/by-sa/3.0/ CC BY-SA 3.0]) · [https://commons.wikimedia.org/wiki/File:XBio_illustration_%E2%80%93_Neuron.png Neuron] — explorebiology (Explore Biology) ([https://creativecommons.org/licenses/by/4.0/ CC BY 4.0]) · [https://commons.wikimedia.org/wiki/File:DNA_double_helix.svg DNA] — Biochemlife ([https://creativecommons.org/licenses/by-sa/4.0/ CC BY-SA 4.0]) · [https://commons.wikimedia.org/wiki/File:Bovine_Pulmonary_Artery_Endothelial_Cells_Fluorescent_Image.jpg Bovine endothelial cells] — Erin Rod ([https://creativecommons.org/licenses/by/4.0/ CC BY 4.0])</div></div> | |||
</div> | </div> | ||
[[Category:Altern / Aging]] | [[Category:Altern / Aging]] | ||
Aktuelle Version vom 28. September 2026, 23:29 Uhr
An evolving AI research projectBackground · goals · methodsUpdated 28 Sep 2026
Open research questions
Connect the literature. Challenge assumptions. Understand function.
Updated research direction · 2026-09-28
The earlier synthesis has been critically refined. AG-H01 is a research framework; AG-H02 remains an unconfirmed secondary route. The new target model AG-T01 tests selective protein clearance while preserving functional synapses. Deep dive with counterevidence and decision criteria →
Falsifiable questions with priorities and stopping criteria.
Prioritised questions
- High: Can an intervention change protein activity while preserving neuronal function? Falsification: marker change without functional benefit.
- High: Which temporally separated regeneration phases require opposing interventions? Falsification: identical effects regardless of timing and cell type.
- High: Which apparent anti-aging effects can be explained by cell-composition changes or selection?
- Medium: Do findings replicate in older animals, both sexes and independent laboratories?
- Medium: Do biomarkers predict intervention benefit or only risk?
Counterevidence applies to the specific claim under defined conditions. A non-significant difference does not establish equivalence. Priorities reflect information value, not clinical readiness. Add questions only with source context, expected information gain and bounded testing effort.
Continue exploring
Evidence and functional outcomes
How studies generate new questions
16 foundation assignments + 4 new deep dives
