Public records / research

Research practice

VHL conducts research toward computational models of human biology across medicine, transcriptomics, bioinformatics, computational biology, and machine learning. Current public work is focused on RNA methods and evaluation. Its standard is to keep sufficient records for others to understand the data, methods, assumptions, citations, conflicts, limitations, and material corrections behind a claim.

Clinical scope

VHL is not a medical provider and does not provide diagnosis, treatment, prescriptions, or patient-specific medical advice.

What readers should expect from VHL work.

These standards apply whether a result is public, under review, or shared privately with a researcher.

Methods

Reproducible records

Projects record the data source, preprocessing, split design, model and software versions, comparison methods, assumptions, and limitations needed to assess the result.

Authorship

Contribution and responsibility

Authorship follows actual scholarly contribution and responsibility. Membership, seniority, funding, or advisory status alone does not create authorship.

AI tools

Human accountability

Material use of generative AI or automated research systems is disclosed when required. Human researchers remain responsible for accuracy, integrity, privacy, and compliance.

Evaluation

Leakage stated and controlled

Biological-model results identify the split unit and account for repeated donors, cohorts, studies, sites, and batches that could inflate apparent generalization.

Corrections

Material changes are recorded

Errors or new evidence that change a result, method, or interpretation should produce a dated correction or revision.

Affiliations

Identity, not sponsorship

Professional affiliations identify individuals. They do not make an employer or institution responsible for VHL work unless a written agreement says so.

Permission, purpose, and review.

Public availability is not a shortcut around repository terms, ethics review, data-use agreements, privacy requirements, or a member’s institutional duties.

Human-subject, biospecimen-derived, controlled-access, or individual-level clinical data require the approvals, permissions, and safeguards that apply to that dataset and research use.

VHL does not use patient records, non-public military medical data, internal institutional data, company-confidential information, accounts, equipment, or facilities without prior authorization.

Participation alone does not transfer intellectual property.

Project rights depend on actual contribution, law, institutional policies, funding conditions, and written project terms.

Background rights

Existing work stays with its owner

Joining VHL does not by itself transfer a person’s or institution’s background intellectual property to the group.

Project outputs

Rights are checked before release

Code, models, datasets, and documents receive an open license only after ownership and third-party restrictions have been reviewed.

Reserved decisions

Major rights need collective approval

Patents, exclusive licenses, assignments, commercial priority rights, and material data or institutional agreements require the approval specified in the bylaws.