Topic
13 K-Dense articles on Use Case — research automation, benchmarks, and case studies from the K-Dense team.
K-Dense Web reproduced the Kang 2018 interferon PBMC study three ways and found 2,632 cell-level effects that fade once each donor counts as one replicate.
K-Dense Web tested all 3,629 TP53 DNA-binding domain missense variants against structure, function and ClinVar, and exposed a circular pathogenicity benchmark.
K-Dense Web simulated every 30-year US retirement since 1871. The 4% rule failed 3% of the time, and more realistic assumptions pushed that rate higher.
By Yuhuan He
K-Dense Web analyzed CDC NHANES data and found that 3 in 4 iron-deficient US women have normal hemoglobin. Then an independent reviewer checked the report.
By Yuhuan He
K-Dense Web reproduced the famous 22-car ring-road jam in simulation, then checked every result against linear theory and the original paper before trusting it.
By Yuhuan He
K-Dense Web analyzed AlphaFold models for all 21 human CDKs and found that chain-level confidence says almost nothing about the kinase domain drug hunters target.
K-Dense Web analyzed global RAS mutation prevalence, drug eligibility, statistics, and the clinical-trial landscape in pancreatic cancer (PDAC).
K-Dense Web analyzed 116 declassified UAP files in one prompt, producing a 60-page report separating aerial activity from extraterrestrial evidence.
K-Dense Web synthesizes literature, finds research gaps, and generates a 26-page PhD proposal on biologically inspired robot actuators in about 45 minutes.
K-Dense Web integrated 6 databases, ranked 6 candidate biomarkers, and produced Phase III trial design recommendations for CD20xCD3 bispecifics in DLBCL.
K-Dense Web queried 6 databases, modeled KRAS structure, mapped the tumor microenvironment, and built a 36-slide iNeST strategy for PDAC neoantigen vaccines.
How K-Dense Web autonomously processed the COCONUT database to identify 50 prioritized antimicrobial candidates using unsupervised machine learning.
K-Dense Web autonomously analyzed 10,000 ICD failure reports from the FDA MAUDE database using NLP and statistics, revealing manufacturer-specific patterns.
