Desde la Comunidad de Madrid y el Ayuntamiento de Madrid, a través de la Fundación Madri+d junto a MIDE (Madrid Innovation Driven Ecosystem), se celebro una sesión de los InnoDays Madrid. La sesion se centro en conocer las principales tendencias, oportunidades y retos en tecnologías biomédicas para nuestro ecosistema, así como casos de éxito y referencias de otros ecosistemas de los que podemos aprender
https://www.linkedin.com/events/innodaysmadrid-oportunidadesyre6932428067508224000/about/
Our last research has been just published in Scientific Reports.
In this initial investigation we have demonstrated that dynamic retinal image analysis can improve the accuracy and precision of autorefraction results relative to subjective refraction. The dynamic algorithm seems to behave as an efficient filter which select those measurements within the dynamic sequence that are more representative of the refractive error that is closest to the subjective refraction of the patient. Our results also suggest that accounting for the dynamic variations of low- and high-order aberrations rather than iterating only over different low-order corrections helps to provide a better estimate of the refractive error.
Please check out the complete paper (open Access) here
Our last Research paper has been just published in an Special issue in Artificial Intelligence of the Journal of Optometry. This work shows that Machine Learning / Artificial Intelligence techniques can be used on wavefront aberrometry data to enhance the performance of refraction technologies.
The results obtained in this work suggest that a ML approach, implementable via software, may potentially improve upon the accuracy of the handheld autorefractor used in the study in a cost-effective manner. An important point to note is that since the most influential variables for the models were the standard variables in aberrometry, this approach could potentially be extended to other autorefractors, supporting the use of the proposed methodology to improve access to vision correction by non-technical eye care providers in health disparity populations.
Read the Open-access article here
At a ceremony in San Francisco on January 26, PlenOptika was named the Prism Award winner in the Biomedical Devices category. The awards, presented by the SPIE, the international society for optics and photonics, honor the best new optics and photonics products on the market ranging from scientific instruments to virtual reality and autonomous driving.
“It’s a great honor to be recognized by the esteemed panel of judges,” said PlenOptika CEO and cofounder Shivang Dave, PhD, “we’re proud to be counted among so many other excellent companies by technical and industry leaders.”
The Prism awards annually recognize organizations developing the most exciting photonics and photonics-enabled technologies and demonstrating strong potential for widespread impact. The judging panel included MKS Instruments’ Marc D. Himel, the FDA’s Zane Arp, Femto Blanc’s Uri Abrams, iFocus’ Adi Diner, Berkeley Catalyst Fund’s Laura Smoliar, Engender Technologies’ Cather Simpson, Luminate Accelerator’s Sujatha Ramanujan, Notal Vision’s Nishant Mohan, Teledyne Princeton Instruments’ Jason McClure, and Chromacity’s Shahida Imani.
In a statement from SPIE, CEO Kent Rochford said, “These companies with their scientists and engineers — and I am including the award finalists as well — are ensuring that key technologies and products are reaching, energizing, and continually growing the photonics market. Their critical, innovative work is impacting lives across the globe.”
