
Global Women’s Breakfast 2026
The Global Women”s Breakfast 2026 also arrives in Bari with the theme “Many Voices, One Science”.I had the pleasure of participating in the meeting hosted
PLATFORM REVOLUTIONIZING DISEASE DETECTION
A binary sensor revolutionizing non-invasive screening
The ERC Starting grant NoOne: A binary sensor with single-molecule digit to discriminate biofluids enclosing zero or at least one biomarker, founded by European Research Council Executive Agency for 5 years (GA 101040383)
NoOne project aims at conceiving, engineering, fabricating and validating a ground-breaking platform based on a single-molecule binary bioelectronic sensor, capable to reliably discriminate biofluid samples enclosing zero biomarkers from those containing just one. The technology can be used for ultimate binary sensing of both proteins/peptides and genomic markers to enable the reliable screening of diseases such as cancer as well as viral and bacterial infections.
The NoOne platform is endowed with a machine-learning / artificial intelligence algorithm, to ensure an incidence of false positives and false negatives below 1-5%.


THE PRINCIPAL INVESTIGATOR (PI)
Prof. Eleonora Macchia, Class of ’90, is an Associate Professor in Analytical Chemistry at the Department of Pharmaceutical Sciences, University of Bari, and the Head of Research at Åbo Akademi University. She is also the Scientific Responsible for the University of Bari node of the Regional Center for Innovation in Single-molecule Digital Assay (www.singlemolecule.center ), where she serves as Biostatistician in the Clinical Trial for an In vitro diagnostic (IVD) device non-interventional performance study using left-over specimens.
Her research interests are focused on the development of ultrasensitive biosensing platforms, multivariate data processing, process monitoring, and Design of Experiments. She has served as a Senior Researcher and Principal Investigator of the ProSiT project, funded by the Academy of Finland Research Council (GA#332106). Since March 2019, she has held the position of Project Researcher at Åbo Akademi University within the framework of the H2020 project SiMBiT (GA#824946). Prior to this, she was a Postdoctoral Fellow at the University of Bari. Dr. Macchia earned her Ph.D. in Chemical Sciences with honors (summa cum laude) in 2018 from the University of Bari and her master’s degree in physics with honors (110/110 cum laude) in 2014 from the same institution.
She has been honored with 11 scientific awards and was selected as a Top 10 candidate for the XVII Edition of the “L’Oréal Italia Per le Donne e la Scienza” award. At the age of 34, she has already authored 83 publications in major international journals since 2013, accumulating a total of 1,905 citations and achieving an h-index of 23. Dr. Macchia is also a co-inventor of two patents. Beyond her research accomplishments, she is deeply committed to serving as a role model for young women scientists and actively promoting women’s representation in science and engineering. She initiates programs aimed at encouraging more girls to pursue studies in these fields and strives to raise the visibility of women working in STEM.
Primavera non bussa, lei entra sicura, come il fumo lei penetra in ogni fessura… E poi la senti addosso, nei passi lenti, nelle risate leggere, nei raggi caldi che sanno di rinascita.Pasquetta alla QUERCETA,noi quattro insieme, tra tempo che rallenta e una pace che sa di casa ❤️
4Un sentito grazie alle studentesse e agli studenti di CTF e Farmacia e a Studenti Indipendenti per aver organizzato e animato l’incontro di oggi su innovazione, One Health e leadership femminile. Il vostro interesse è la parte più luminosa del mio lavoro❤️
4 Traguardo raggiunto! 🎓 Mariapia Caputo ha conseguito il Dottorato con lode in Scienze del Farmaco. Fiera del tuo impegno e della tua passione. Grazie al Prof. Renzo Luisi e al Collegio di Dottorato per il prezioso lavoro. Bravissima Mariapia, avanti tutta! 🚀
@unibait

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The NoOne project aims to develop, design, implement, and validate an innovative platform based on a single-molecule binary bioelectronic sensor that can reliably discriminate biofluid samples lacking biomarkers from those containing at least one
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