US 11,915,819 B2
Methods and systems for multi-omic interventions
Ranjan Sinha, Los Altos Hills, CA (US); Shreyas V. Kumbhare, Maharashtra (IN); Inti Pedroso, Región del Maule (CL); and Daniel E. Almonacid, San Diego, CA (US)
Assigned to Food Rx and AI, Inc., Mountain View, CA (US)
Filed by Food Rx and AI, Inc., Mountain View, CA (US)
Filed on Aug. 4, 2022, as Appl. No. 17/817,558.
Claims priority of provisional application 63/274,122, filed on Nov. 1, 2021.
Claims priority of provisional application 63/246,348, filed on Sep. 21, 2021.
Claims priority of provisional application 63/230,656, filed on Aug. 6, 2021.
Prior Publication US 2023/0047307 A1, Feb. 16, 2023
Int. Cl. G16H 20/60 (2018.01); G16B 40/00 (2019.01); G16B 20/20 (2019.01); G16H 20/00 (2018.01); G16B 5/00 (2019.01); G16B 20/00 (2019.01)
CPC G16H 20/60 (2018.01) [G16B 5/00 (2019.02); G16B 20/00 (2019.02); G16B 20/20 (2019.02); G16B 40/00 (2019.02); G16H 20/00 (2018.01)] 16 Claims
 
1. A method for prevention and treatment of a cardiovascular condition, the method comprising:
simultaneously reducing severity of a set of cardiovascular symptoms by at least 10%, producing greater than 2% weight loss, and reducing hemoglobin A1c levels by at least 0.5% compared to a baseline hemoglobin A1c level in a subject upon:
receiving a set of samples from the subject;
receiving a biometric dataset from the subject;
receiving a lifestyle dataset from the subject;
returning a genomic profile and one or more microbiome states including a baseline profile upon processing the set of samples, the biometric dataset, and the lifestyle dataset with a set of transformation operations;
returning a set of genomic features from a multi-omic model comprising architecture that processes the genomic profile and the one or more microbiome states,
wherein said architecture is configured to filter out amplicon sequence variants (ASVs) associated with Elusimicrobiota, Nanoarchaeota, and Bdellovibrionota, and
wherein the set of genomic features returned from the multi-omic model comprises characterizations of risk allele detection for the subject, for a set of SNPs comprising: rs10246939, rs1042713, rs10741657, rs11076023, rs1260326, rs12611820, rs1501299, rs17700633, rs1799931, rs1800566, rs1800795, rs2112347, rs2185570, rs2241766, rs236918, rs2815752, rs29941, rs4654748, rs4680, rs526934, rs6318, rs660339, rs6968554, rs6994076, rs7138803, rs7385804, rs762551, rs838147, and rs9376026;
generating a personalized intervention plan for the subject from the set of genomic features; and
executing the personalized intervention plan for the subject.