Bioinformatics meets clinic
Glaucoma expert Dr. Alessandro Rabiolo described in a recent Q&A how bioinformatics connects clinical ophthalmology with large‑scale datasets to enable more personalised care. He discussed his career path, key mentors and the practical ways data‑driven decision making is entering routine clinical workflows. The piece illustrates a real‑world day‑to‑day bridge between patient care and computational analysis. (x.com)
Glaucoma usually steals vision from the edges first, and many people do not notice it until the optic nerve is already damaged. The Centers for Disease Control and Prevention says about 3 million Americans have glaucoma, and the disease is the second leading cause of blindness worldwide. (cdc.gov) Doctors track glaucoma with two different kinds of clues. A visual field test maps the parts of your side vision that are missing, while optical coherence tomography uses reflected light to measure the thickness of the retina and optic nerve like a cross-section scan. (aao.org 1) (aao.org 2) Bioinformatics is what happens when medicine stops looking at one eye chart at a time and starts comparing thousands of scans, pressure readings, drug histories, and follow-up visits at once. In ophthalmology, that means turning routine clinic data into patterns that can flag which patients are worsening faster than they look on a single visit. (sciencedirect.com) That is the bridge Dr. Alessandro Rabiolo described in a March 2026 Q&A with touchOPHTHALMOLOGY. He said large datasets and bioinformatics will help personalize glaucoma care and improve how clinicians understand disease progression. (touchophthalmology.com 1) (touchophthalmology.com 2) Rabiolo is not speaking as a pure data scientist who watches from outside the clinic. The University of Eastern Piedmont lists him as an associate professor whose recent work includes visual field progression, optical coherence tomography, intraocular pressure, and large real-world glaucoma cohorts. (research.uniupo.it) His training path also runs through clinics that generate exactly the kind of data he is talking about using better. His ORCID record lists roles at the University of California, Los Angeles in 2018, City, University of London in 2020, Gloucestershire Hospitals from 2019 to 2022, and Moorfields Eye Hospital from 2021 to 2022. (orcid.org) You can see the clinical version of bioinformatics in one of his 2025 papers. A study listed on his university profile examined systemic calcium channel blocker use and visual field progression in a large real-world cohort from glaucoma clinics, which is exactly the kind of question that only becomes answerable when many patient records are analyzed together. (research.uniupo.it) This does not mean an algorithm replaces an eye doctor. The American Academy of Ophthalmology says visual fields and optical coherence tomography provide complementary information for monitoring glaucoma progression, so the job is to combine more signals, not to trust a single number. (aao.org) The practical change is smaller and more immediate than the buzz around artificial intelligence makes it sound. A glaucoma clinic that already collects scans, pressure readings, and medication histories can use larger datasets to sort patients into more realistic risk groups, so one person gets closer follow-up while another avoids unnecessary visits. (touchophthalmology.com) (sciencedirect.com) That is why this interview landed inside World Glaucoma Week coverage in March 2026 rather than in a computer science journal. The story is not that ophthalmology discovered data, but that clinicians like Rabiolo are trying to make everyday eye tests behave less like isolated snapshots and more like a long movie of each patient’s disease. (touchophthalmology.com)
