Simulated Misuse of Large Language Models and Clinical Credit Systems

Large language models (LLMs) have been proposed to support many healthcare tasks, including disease diagnostics and treatment personalization. While AI may be applied to assist or enhance the delivery of healthcare, there is also a risk of misuse. LLMs could be used to allocate resources based on unfair, inaccurate, or unjust criteria. For example, a social credit system uses big data to assess trustworthiness in society, punishing those who score poorly based on evaluation metrics defined only by a power structure (corporate entity, governing body). Such a system may be amplified by powerful LLMs which can rate individuals based on multimodal data - financial transactions, internet activity, and other behavioural inputs. Healthcare data is perhaps the most sensitive information which can be collected and could potentially be used to violate civil liberty via a clinical credit system, which may include limiting or rationing access to standard care. This report simulates how clinical datasets might be exploited and proposes strategies to mitigate the risks inherent to the development of AI models for healthcare.

Meeting Report: BioSharing at ISMB 2010

This report summarizes the proceedings of the one day BioSharing meeting held at the Intelligent Systems for Molecular Biology (ISMB) 2010 conference in Boston, MA, USA This inaugural BioSharing event was hosted by the Genomic Standards Consortium as part of its M3 & BioSharing special interest group (SIG) workshop. The BioSharing event included invited talks from a range of community leaders and a panel discussion at the end of the day. The panel session led to the formal agreement among community leaders to join together to promote cross-community knowledge exchange and collaborations. A key focus of the newly formed Biosharing community will be linking up resources to promote real-world data sharing (virtuous cycle of data) and supporting compliance with data policies through the creation of a one-stop-portal of information. Further information about the newly established BioSharing effort can be found at http://biosharing.org.

Entropic nature of the interaction between promoter bound CRP mutants and RNA polymerase

The interaction between CRP, T127L, S128A, and CRP and RNA polymerase bound to a 104 bp synthetic promoter were determined by ITC at 298 K and ranges from a deltaG(b) degrees = 1.4 +/- 0.8 kJ mol(-)(1) (cAMP-ligated S128A) to 4.5 +/- 0.3 kJ mol(-)(1) (cAMP-ligated double mutant CRP) with endothermicities that range from 4 +/- 3 kJ mol(-)(1) (cAMP-ligated CRP) to 47 +/- 8 kJ mol(-)(1) (cGMP-ligated T127L). The interaction is, thus, entropically driven, exhibits enthalpy-entropy compensation, and increases the binding affinity of the RNA polymerase to the promoter by factors ranging from 1.7 +/- 0.1 (cAMP-ligated S128A) to 6.1 +/- 0.1 (cAMP-ligated CRP). Although the binding affinities to the promoter alone, except for cAMP-ligated S128A, are the same as to a shorter 40 bp duplex containing the same CRP consensus binding site sequence (conDNA), the binding enthalpies of CRP/mutant to the promoter are lower by factors of 2-3 x than the corresponding binding enthalpies to conDNA. Small angle neutron scattering measurements on the DNA-CRP/mutant complexes in D(2)O/H(2)O solutions exhibit an increase in the Rg of the CRP/mutant component from 22 to 27-31 A that can be attributed to a conformational change in the N-terminal domain of CRP. The Rg = 27 A for the bound conDNA can be attributed to a slight unwinding of the DNA in solution that would also enhance the activation of transcription. The Rg = 53 +/- 3 A for the bound promoter is attributed to bending of the promoter in solution that can be responsible for the lower CRP/mutant-promoter binding endothermicities.