A total of 40 patients with confirmed bloodstream infections were included to evaluate a machine learningbased antimicrobial resistance prediction model. For each patient, 10 mL of whole blood was inoculated into BACTEC aerobic blood culture bottles (BD) and incubated in the BD BACTEC FX automated blood culture system. Upon positive growth, microbial DNA was enriched via red blood cell lysis (RBC Lysis Buffer, Zymo), host DNA depletion (HostZERO Microbial DNA Kit, Zymo), and bead beating, followed by DNA extraction using the magLEAD 12Gc system (PSS, BioServices). DNA concentration and quality were assessed using Nanodrop One and Qubit (Thermo Fisher). Libraries were prepared using the MGIEasy Fast FS Library Prep Set and MGIEasy Dual Barcode Circulization Kit (MGI). Paired-end 150 bp sequencing was performed on the DNBSEQ-G99 platform using the High-throughput Sequencing Set (G99 SM FCL PE150). Since DNBSEQ-G99 is not listed in SRA, DNBSEQ-G400 was selected as the most appropriate equivalent.