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Archive: https://archive.today/deP0C

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>Male factor infertility accounts for up to 40% of infertility cases,1 with azoospermia and cryptozoospermia (conditions characterised by absent or extremely rare sperm in the ejaculate) comprising approximately 10–15% of these cases.2 For affected couples, diagnosis and treatment often involve years of repeated failed interventions, invasive procedures, and emotional distress. Management options typically include testicular sperm extraction3 or prolonged manual sperm searches by skilled embryologists, followed by intracytoplasmic sperm injection.4 These approaches can be invasive, time-intensive, and frequently unsuccessful, with many couples ultimately advised to consider donor sperm or adoption. To address this important challenge, we developed the Sperm Tracking and Recovery (STAR) system, an artificial intelligence (AI)-guided microfluidic platform capable of high-speed, real-time identification and isolation of rare sperm in semen samples previously classified as azoospermic. This fully automated, non-invasive system is designed with the goal of expanding access to biological paternity for individuals diagnosed with severe male factor infertility. We report the first clinical use of STAR to result in a confirmed pregnancy, representing a milestone in AI-guided, microfluidic sperm recovery for severe male factor infertility.

Archive: https://archive.today/deP0C From the post: >>Male factor infertility accounts for up to 40% of infertility cases,1 with azoospermia and cryptozoospermia (conditions characterised by absent or extremely rare sperm in the ejaculate) comprising approximately 10–15% of these cases.2 For affected couples, diagnosis and treatment often involve years of repeated failed interventions, invasive procedures, and emotional distress. Management options typically include testicular sperm extraction3 or prolonged manual sperm searches by skilled embryologists, followed by intracytoplasmic sperm injection.4 These approaches can be invasive, time-intensive, and frequently unsuccessful, with many couples ultimately advised to consider donor sperm or adoption. To address this important challenge, we developed the Sperm Tracking and Recovery (STAR) system, an artificial intelligence (AI)-guided microfluidic platform capable of high-speed, real-time identification and isolation of rare sperm in semen samples previously classified as azoospermic. This fully automated, non-invasive system is designed with the goal of expanding access to biological paternity for individuals diagnosed with severe male factor infertility. We report the first clinical use of STAR to result in a confirmed pregnancy, representing a milestone in AI-guided, microfluidic sperm recovery for severe male factor infertility.

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