Using a Smartphone to Screen for Male Infertility

More than 45 million couples worldwide grapple with infertility, but current standard methods for diagnosing male infertility can be expensive, labor-intensive and require testing in a clinical setting. Cultural and social stigma, and lack of access in resource-limited countries, may prevent men from seeking an evaluation. Investigators at Brigham and Women's Hospital and Massachusetts General Hospital (MGH) set out to develop a home-based diagnostic test that could be used to measure semen quality using a smartphone-based device. New findings by the team indicating that the smartphone-based semen analyzer can identify abnormal semen samples based on sperm concentration and motility criteria with approximately 98 percent accuracy are published online on March 22 in Science Translational Medicine.

"We wanted to come up with a solution to make male infertility testing as simple and affordable as home pregnancy tests," said Hadi Shafiee, PhD, a principal investigator in the Division of Engineering in Medicine and Renal Division of Medicine at BWH. "Men have to provide semen samples in these rooms at a hospital, a situation in which they often experience stress, embarrassment, pessimism and disappointment. Current clinical tests are lab-based, time-consuming and subjective. This test is low-cost, quantitative, highly accurate and can analyze a video of an undiluted, unwashed semen sample in less than five seconds."

The analyzer consists of an optical attachment that can connect to a smartphone and a disposable device onto which a semen sample can be loaded. The new test utilizes the advancements in consumer electronics and microfabrication. A disposable microchip with a capillary tip and a rubber bulb is used for simple, power-free semen sample handling. The team also designed a user-friendly smartphone application that guides the user through each step of testing, and a miniaturized weight scale that wirelessly connects to smartphones to measure total sperm count.

To evaluate the device, the research team collected and studied 350 clinical semen specimens at the MGH Fertility Center. Overall, the smartphone-based device was able to detect abnormal semen samples based on WHO thresholds on sperm concentration and motility (sperm concentration < 15million sperm/ml and/or sperm motility < 40%) with an accuracy of 98 percent. The team also evaluated how well both trained and untrained users performed the test using the smartphone-based device.

"The ability to bring point-of-care sperm testing to the consumer, or health facilities with limited resources, is a true game changer," said John Petrozza, MD, a co-author of the study and director of the MGH Fertility Center. "More than 40 percent of infertile couples have difficulty conceiving due to sperm abnormalities and this development will provide faster and improved access to fertility care. By working with Dr. Shafiee and his lab at BWH, and utilizing our clinical fertility expertise here at MGH, we have really been able to create a product that will benefit a lot of people."

Shafiee's team, which focuses on developing new technologies using microfluidics, sees many applications for the technology. In addition to at-home male fertility testing for couples trying to conceive, the device could also be used by men who have had a vasectomy. Usually, men must go to office visits with a urologist for several months after the surgery to ensure that the operation was successful; the new test may allow them to be monitored at home. The test could also be used by animal breeders to confirm the virility of a sample. Beyond semen analysis, the device is also compatible with testing blood and saliva samples. Shafiee looks forward to exploring these applications in the near future.

"My job is to try to understand some of the problems patients and physicians face in the clinic and to help develop new solutions. We are always thinking about what’s next and how to develop something new," said Shafiee.

The smartphone-based analyzer for semen analysis is currently in a prototyping stage. The team plans to perform additional tests and will file for FDA approval.

This project was supported by a Brigham Research Institute Pilot Grant, BRIght Futures Prize, Innovation Evergreen Fund, and Fund to Sustain Research Excellence (Brigham Research Institute, Brigham and Women’s Hospital, Harvard Medical School), 1R01AI118502 and P30ES000002 (National Institute of Health), Harvard NIEHS Grant (Harvard T.H. Chan School of Public Health, Harvard Center for Environmental Health), ASRM Award (American Board of Obstetrics and Gynecology, American College of Obstetricians and Gynecologists, American Society for Reproductive Medicine, Society for Reproductive Endocrinology and Infertility). Shafiee is the inventor of a BWH international patent application on smartphone-based microchip technology for sperm detection and tracking.

Kanakasabapathy MK, Sadasivam M, Singh A, Preston C, Thirumalaraju P, Venkataraman M, Bormann CL, Draz MS, Petrozza JC, Shafiee H.
An automated smartphone-based diagnostic assay for point-of-care semen analysis.
Sci Transl Med. 2017 Mar 22;9(382). pii: eaai7863. doi: 10.1126/scitranslmed.aai7863.

Most Popular Now

ChatGPT can Produce Medical Record Notes…

The AI model ChatGPT can write administrative medical notes up to ten times faster than doctors without compromising quality. This is according to a new study conducted by researchers at...

Alcidion and Novari Health Forge Strateg…

Alcidion Group Limited, a leading provider of FHIR-native patient flow solutions for healthcare, and Novari Health, a market leader in waitlist management and referral management technologies, have joined forces to...

Can Language Models Read the Genome? Thi…

The same class of artificial intelligence that made headlines coding software and passing the bar exam has learned to read a different kind of text - the genetic code. That code...

Study Shows Human Medical Professionals …

When looking for medical information, people can use web search engines or large language models (LLMs) like ChatGPT-4 or Google Bard. However, these artificial intelligence (AI) tools have their limitations...

Advancing Drug Discovery with AI: Introd…

A transformative study published in Health Data Science, a Science Partner Journal, introduces a groundbreaking end-to-end deep learning framework, known as Knowledge-Empowered Drug Discovery (KEDD), aimed at revolutionizing the field...

Bayer and Google Cloud to Accelerate Dev…

Bayer and Google Cloud announced a collaboration on the development of artificial intelligence (AI) solutions to support radiologists and ultimately better serve patients. As part of the collaboration, Bayer will...

Shared Digital NHS Prescribing Record co…

Implementing a single shared digital prescribing record across the NHS in England could avoid nearly 1 million drug errors every year, stopping up to 16,000 fewer patients from being harmed...

Ask Chat GPT about Your Radiation Oncolo…

Cancer patients about to undergo radiation oncology treatment have lots of questions. Could ChatGPT be the best way to get answers? A new Northwestern Medicine study tested a specially designed ChatGPT...

North West Anglia Works with Clinisys to…

North West Anglia NHS Foundation Trust has replaced two, legacy laboratory information systems with a single instance of Clinisys WinPath. The trust, which serves a catchment of 800,000 patients in North...

Can AI Techniques Help Clinicians Assess…

Investigators have applied artificial intelligence (AI) techniques to gait analyses and medical records data to provide insights about individuals with leg fractures and aspects of their recovery. The study, published in...

AI Makes Retinal Imaging 100 Times Faste…

Researchers at the National Institutes of Health applied artificial intelligence (AI) to a technique that produces high-resolution images of cells in the eye. They report that with AI, imaging is...

GPT-4 Matches Radiologists in Detecting …

Large language model GPT-4 matched the performance of radiologists in detecting errors in radiology reports, according to research published in Radiology, a journal of the Radiological Society of North America...