WikiGen: Bio‑logical safeguards for collaborative AI/ML on sensitive data

Looking for data, model improvements, ie.. cures; WikiGen is an open sourced protocol connecting databases and a user’s data to allow selective consensus for a given inquiry, based on collective and/or private knowledge feeds. Particular to you, WikiGen evaluates a query, protocol or research objective, even an entire database submission against our internal base of researchers, commercial to academic partners and concerned healthcare consumers’ data repos. to securely and with privacy-first preserving means, discover missing components that exist already or possibilities for data collection campaigns as solutions (similar to bounties used in hacks). This way science, may not have to be repeated locally for the same vain, in vain, but rather shared to save time or money in R&D globally across. Animal model systems may not be needed to run experiments on, if the data exists already or if there is enough to simulate such animal models. Perhaps, the instrument you are about to optimize for a lab assay has been, before, performed exactly for your exact experiment constrains, however, not published or digitally accessible to your very credentials. Maybe you are a licensed MD or RN looking for insulin ASAP, or the rates of Asthma in children changing specific to your zip code. If the information is collected and exists in a database, all you need is a trustless way to request for it and prove you can be trusted! Currently, there is no way for researchers to “google” i.e. BLAST search align a SEQ file (GCAT to CGTA similarity) to locate plasmids or biological materials off of the input compliment target by percent homology of sequence (0-100% exact mach) overlap in data bases they have no authority to search in. Well yes.. for safety. However, in life science these databases are constantly being shared, in correctly logged, mailed and collaborated on. The models, benchmarks, scripts, standard operating procedure protocols and barcoded physical inventory carefully catalogued. How do we connect such very difficult to acquire, in the first place, tools and resources that may hold specific answers to someone else’s difficult question, if the data is collected and not shared, reused, or even not allowed to be open sourced. Such that If I work at BioMarin, I do not need to have friends in Amgen’s gene therapy group to know what sample plasmids they possibly may have in their freezer repertoire for their own IP campaigns, to be able to determine who to email for a sample. I'd much rather the void alert me of what I do not know, which I need based off of my current needs. Researchers and ML/AI agentic pipelines today require new methods to access data. Especially sensitive data that can be used for harm, without stunting the goodness that arrises from research aims, when utilized for the intended purposes. In antibody discovery, neuroscience research, oncology targets and in metabolomics, sequenced library sets are almost barely ever publicly added to open source gene banks. Publications in biology, such as Nature have priorly risked the identities of patients by publishing tissue sequence of sc-RNA matrices data, which other individuals were able to de-identify the patients. Publishing costs money and occasionally you get a very mean or confused reviewer, preventing critical relay channels to share important data or protocols in a heist matter. Lastly, bioinformatic or computational biology data scientists, unite in complaints of code not published to the paper, or not the right files or script versions publicly available. Institutions or biopharma corporations are only held accountable to incentivize cross dynamic synergy benefits to their entity's already self involved and financed collaborations, even when policy and laws exist such as to share failed clinical trial data (the U.S. states as law), they fail in implementation : clinicaltrials.gov does not support, nor has anyone significant noticed this is not being maintained, since 2013, for missing reports of clinical trial master files to be required for upload into an active registry for the, permission approved, collective to make use.