There is current lack of clarity on the causes and progress of peripartum cardiomyopathy (PPCM), a rare condition that features heart failure in the last trimester of pregnancy, or the immediate 5-6 months after delivery. The current hypothesis is that PPCM is caused by a combination of hormonal and metabolic stress related to pregnancy.

 

The joint research conducted between 23Strands, UTS, Victor Chang Cardiac Research Institute and the Sydney Heart Bank has delved into the genomic distinctions between PPCM and other forms of cardiomyopathy, including familial and idiopathic dilated cardiomyopathy. These distinctions were found through the use of 23Strand’s prototype Biblioengine and artificial intelligence (AI) to sift through bibliometric data on PubMed. The genes identified were further enhanced with metadata from third party datasets and analysed for their impact and specificity in relation to PPCM (Grosser et al. 2022).

 

The findings of this research indicate the powerful use of AI as a tool to extract and refine selections of existing data and by extension its relevance to an ever increasing knowledge base in the medical field. In relation to PPCM, genomic distinctions illuminated by Biblioengine now pave the way for identifying specific causes for PPCM.

 

Check out our full study in the source below. 

 

Sources:

Grosser, M, Lin, H, Wu, M, Zhang, Y, Tipper, S, Venter, D, Lu, J & dos Remedios, C G 2022, ‘A bibliometric review of peripartum cardiomyopathy compared to other cardiomyopathies using artificial intelligence and machine learning’, Biophysical Reviews, vol. 14, no. 1, pp. 381–401, <https://doi.org/10.1007/s12551-022-00933-x>.