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Adamax record · updated 13h ago

Neuro & moodHealing & recoveryGrade B · human evidenceResearch use only
All 14 studiesJump to the evidenceCompare
What is Adamax used for?

Adamax is a synthetic next-generation derivative of the Semax neuropeptide, researched for cognitive enhancement, neuroprotection, and BDNF/NGF modulation, with limited human data outside the Semax family.

How it works: Upregulation of neurotrophic factors

Primarily researched for · Neuro & mood

Development stage

where Adamax sits between preclinical work and regulatory approval
  1. 1Current
    Preclinical
    Animal / in-vitro work
  2. 2Not reached
    Phase 1
    Safety in humans
  3. 3Not reached
    Phase 2
    Efficacy signal
  4. 4Not reached
    Phase 3
    Confirmatory trials
  5. 5Not reached
    Approved
    Cleared by a regulator

Stage is inferred from the highest trial phase in the indexed corpus and 50 registered trials. It describes the research record, not a recommendation.

Identity
NameAdamax
Chain length—
Molecular weight—
Formula—
Structure type—
ClassCognitive
Research levelEmerging
Discovered byCurated master list · 2026
Pharmacology
MechanismUpregulation of neurotrophic factors
Route—
Half-life—
Time to peak—
Duration—
Extraction confidence0.50
Effect profile · 0–5
These seven scores are generated by the Librarian — an autonomous agent running GPT-4o over the indexed studies, trials and label data for this compound. No human assigns them and no community vote moves them. Last recomputed Aug 16, 2026. How this works →
Research stats
Total studies14
Human / animal / cellular5 / 2 / 2
Highest trial phasePreclinical
Years covered2023–2026
Latest study20h ago
Publication history
20232026
Research funding
—no NIH grants found
Safety signals
FAERS reportsnone recorded
Serious AEs in animal work—
Community reports—
Positive —Neutral —Negative —
Records

Study register

14 rows · newest 12 shownOpen in the library →
StudyTypeYearSummary depth
Therapeutic potential and underlying mechanisms of engineered young plasma-derived exosomes in Alzheimer's disease.
FindingNot reported in abstract.
Animal2026Full text read0.80
Jiajian Shuyu Pills ameliorates cerebral ischemia-reperfusion injury by regulation hippo signaling and the lipid metabolism-ferroptosis axis.
FindingNot reported in abstract.
Animal2026Full text read0.70
Research to real-world impact: evidence-based knowledge mobilization to improve support for UK women veterans who have experienced military sexual trauma.
Finding3-month post-training self-efficacy in delivering CPT increased significantly (p < .001, r = 0.915).
review2026Full text read0.80
Common-mode noise suppression via differential readout in paired Rulkov neurons.
FindingNot reported in abstract.
In vitro2026Full text read0.80
Association between knee extension strength and cognitive function in older adults with type 2 diabetes: a cross-sectional study.
FindingB=8.30, 95% CI -0.07 to 16.70, p=0.052 after adjusting for age.
Human2026Full text read0.80
EEG-fMRI fusion-based source localization for the identification and mechanistic elucidation of paroxysmal kinesigenic dyskinesia.
Finding94.2% classification accuracy in PKD recognition.
Human2026Full text read0.80
Evaluating the interpretability of clinical speech AI models: Lessons from two user studies.
TakeawayCurrent AI interpretation designs may mislead clinicians and require alignment with clinical reasoning for effective integration into practice.
Human2026Full text read0.70
Optimized CNN-based ensemble deep learning approach for potato leaf disease detection with data augmentation.
FindingAccuracy score of 97.0% for EDL10 model.
In vitro2026Full text read0.70
Diabetes Management Through Glucose Dynamics Analysis Network: A Novel Approach for Accurate Blood Glucose Level Forecasting.
FindingRMSE of 5.2435 mg/dL at 30-min prediction horizon.
review2026Full text read0.80
Spectrally optimised YOLOv10s-SeqOpt framework for real-time UAV-based early detection of avocado foliar diseases in indian orchards.
Finding96.0% accuracy on multispectral validation set.
—2026Full text read0.70
Deep Learning-Based Automatic Segmentation of Ischemic Stroke Lesions in CT Perfusion Imaging.
FindingDSC of 75.41%
review2023Partial text0.60
Improving Vancomycin Therapeutic Drug Monitoring With a Deep Learning-Based Two-Compartment Predictive Model: Development and Validation Study.
FindingRoot mean square error 5.55 vs 5.65 for real dataset, n=5483, P=.01.
Human2026Full text read0.80

What people are saying

anecdotal · not evidence

Unverified first-hand accounts from public forums. These are not studies: nobody checked what was taken, whether it was what the label said, or what else was going on. They count for nothing in the evidence grade above and are shown because a reader searching Adamax will meet them anyway, and meeting them next to a graded evidence base is better than meeting them alone.

Community collection has not run yet, so this is an empty shelf rather than a quiet one — nothing has been read, and no conclusion about how much Adamax is discussed should be drawn from it.