bacteria id added

_pages/about.md

@@ -11,18 +11,36 @@ Who am I
 ------
 Currently, I am a postdoctoral researcher at the [Bioengineering and Optoelectronics Group](http://www.byo.upm.es/BYO) in [Universidad Politécnica de Madrid (UPM)](https://www.upm.es). 
 
-**Research.**      My research primarily focuses on advancing the field of Machine Learning by understanding and developing novel probabilistic models that address real-world biomedical problems. To overcome the common challenges encountered in the biomedical field, such as missing data and heterogeneous modalities, I am dedicated to learn, develop and apply heterogeneous generative models that offer more accurate and reliable predictions. I have a deep interest in the fields of eXplainable AI (XAI) and ethical AI. With the growing influence of AI technologies in our society, it is crucial to ensure transparency, trustworthiness, and ethical alignment.
+**Research.**  My research primarily focuses on advancing the field of Machine Learning by understanding and developing novel probabilistic models that address real-world biomedical problems. To overcome the common challenges encountered in the biomedical field, such as missing data and heterogeneous modalities, I am dedicated to learn, develop and apply heterogeneous generative models that offer more accurate and reliable predictions. I have a deep interest in the fields of eXplainable AI (XAI) and ethical AI. With the growing influence of AI technologies in our society, it is crucial to ensure transparency, trustworthiness, and ethical alignment.
 
-**Previously.**      I obtained my Ph.D. with honors (cum laude) from UC3M (Universidad Carlos III de Madrid) in the field of __Machine Learning for Personalised Medicine__, specifically the clinical microbiology field. I am grateful for the invaluable guidance and joint supervision provided by [Dr. Pablo M. Olmos](http://www.tsc.uc3m.es/~olmos/) and [Dr. Vanessa Gómez-Verdejo](https://vanessa.webs.tsc.uc3m.es) throughout my doctoral journey. During my thesis, I was affiliated with the [Gregorio Marañón Health Research Institute (IISGM)](https://www.iisgm.com), where I had the privilege of working under the guidance of [Dr. Belén Rodríguez-Sánchez](https://scholar.google.es/citations?user=W9sZbBoAAAAJ&hl=es). The experience gained during my time at IISGM has significantly shaped my research interests and provided me with valuable insights into the challenges faced by the biomedical community.
+**Previously.**   I obtained my Ph.D. with honors (cum laude) from UC3M (Universidad Carlos III de Madrid) in the field of __Machine Learning for Personalised Medicine__, specifically the clinical microbiology field. I am grateful for the invaluable guidance and joint supervision provided by [Dr. Pablo M. Olmos](http://www.tsc.uc3m.es/~olmos/) and [Dr. Vanessa Gómez-Verdejo](https://vanessa.webs.tsc.uc3m.es) throughout my doctoral journey. During my thesis, I was affiliated with the [Gregorio Marañón Health Research Institute (IISGM)](https://www.iisgm.com), where I had the privilege of working under the guidance of [Dr. Belén Rodríguez-Sánchez](https://scholar.google.es/citations?user=W9sZbBoAAAAJ&hl=es). The experience gained during my time at IISGM has significantly shaped my research interests and provided me with valuable insights into the challenges faced by the biomedical community.
 
-Last news
+🌟 **Big news** 🌟
 ------
-- __August 2023__: Our paper [Detecting train driveshaft damages using accelerometer signals and Differential Convolutional Neural Networks Networks](https://doi.org/10.1016/j.engappai.2023.106840) has been published in the [Engineering Applications of Artificial Intelligence](https://www.journals.elsevier.com/engineering-applications-of-artificial-intelligence) journal!
-- __July 2023__: We've just submitted a new paper titled [Exploring the Power of PPG Matrix for Atrial Fibrillation Detection with Integrated Explainability](http://dx.doi.org/10.2139/ssrn.4514512) to the Computer Methods and Programs in Biomedicine journal.
-- __June 2023__: Excited to embark on a new journey as a postdoctoral researcher at the [Bioengineering and Optoelectronics Group](http://www.byo.upm.es/BYO) in UPM!
-- __June 2023__:  I am thrilled to announce that I have successfully obtained my Ph.D. titled ["Clinical Microbiology with Multi-view deep probabilistic models"](http://aguerrerolopez.me/files/Tesis_GuerreroLopez_AlejandroJorge_FormatoWeb.pdf) with honors!
 
-Stay tuned for more updates on my research, achievements, and future endeavors!
+🌐 **Introducing BacteriaID: A Leap Forward in Bacterial Identification** 🌐
+
+We're thrilled to unveil our latest innovation: [BacteriaID](https://bacteria.id), a pioneering web application poised to transform the landscape of bacterial classification. Developed from [our recent research](biorxiv.org/content/10.1101/2024.01.24.576988v1), [BacteriaID](https://bacteria.id) employs state-of-the-art MALDI-TOF MS technology to automate the identification of toxigenic European ribotypes of Clostridioides difficile.
+
+![BacteriaID Landing Page](https://bacteria.id/featured.png)
+
+🔒 Currently in closed beta, [BacteriaID](https://bacteria.id) represents our most ambitious milestone yet, embodying the synergy of cutting-edge research and practical application. This tool helps advancing microbiology through technology, providing an accessible, accurate, and indispensable resource for researchers and healthcare professionals worldwide.
+
+👥 Crafted through a collaborative effort with renowned institutions, [BacteriaID](https://bacteria.id) is not just a tool but a movement towards a future where bacterial infections are detected with unprecedented precision and speed.
+
+Stay tuned for exclusive updates, insights, and the official launch date. Join us in this groundbreaking journey at [BacteriaID](https://bacteria.id).
+
+🌟 **Latest Buzz** 🌟
+------
+
+- **January 2024** 🚀: Dive into our latest breakthrough! Discover our new preprint on revolutionizing Clostridioide difficile ribotyping with cutting-edge probabilistic Machine Learning. [Check it out](biorxiv.org/content/10.1101/2024.01.24.576988v1)!
+
+- **December 2023** 📊: Exciting News! We've released a groundbreaking public dataset on Clostriodide Difficile ribotypes. Perfect for researchers! Use it wisely and don't forget to cite! [Explore now](https://zenodo.org/records/10370872).
+
+- **August 2023** 🛤️: Our latest paper is making waves! Learn how we're detecting train driveshaft damages using advanced tech. Now published in the [Engineering Applications of Artificial Intelligence](https://www.journals.elsevier.com/engineering-applications-of-artificial-intelligence) journal. [Read the paper](https://doi.org/10.1016/j.engappai.2023.106840).
+
+👀 Keep your eyes peeled for more thrilling updates and milestones in my journey!
+
 
 Short Bio
 ------

_publications/2023-05-31-PhD-thesis.md

@@ -0,0 +1,13 @@
+---
+title: "Clinical Microbiology with Multi-view deep probabilistic models"
+collection: publications
+permalink: /publication/2023-05-31-PhD-thesis
+excerpt: ''
+date: 2023-05-31
+venue: 'Universidad Carlos III de Madrid'
+paperurl: 'http://aguerrerolopez.me/files/Tesis_GuerreroLopez_AlejandroJorge_FormatoWeb.pdf'
+citation: 'Guerrero López AJ. Clinical microbiology with multi-view deep probabilistic models. http://hdl.handle.net/10016/37432'
+---
+
+
+

_publications/2023-12-13-Blazquez-Sanchez-et-al.md

@@ -0,0 +1,13 @@
+---
+title: "MALDI-TOF spectra of Clostridioides difficile Ribotypes"
+collection: publications
+permalink: /publication/2023-12-13-Blazquez-Sanchez-et-al
+excerpt: ''
+date: 2023-12-13
+venue: 'Zenodo'
+paperurl: 'https://doi.org/10.5281/zenodo.10370872'
+citation: 'Blázquez-Sánchez M, Guerrero-López A, Candela A, Sánchez-Cueto M, Marín M, Jiménez-Navarro L, et al. MALDI-TOF spectra of Clostridioides difficile Ribotypes. Zenodo; 2023.'
+---
+
+
+[![DOI](https://zenodo.org/badge/DOI/10.5281/zenodo.10370872.svg)](https://doi.org/10.5281/zenodo.10370872)

_publications/2024-01-24-Blazquez-Sanchez-et-al.md

@@ -0,0 +1,12 @@
+---
+title: "Rapid, automatic typing of Clostridioides difficile Ribotypes Using MALDI-TOF MS"
+collection: publications
+permalink: /publication/2024-01-24-Blazquez-Sanchez-et-al
+excerpt: ''
+date: 2024-01-24
+venue: 'Submitted to Nature Microbiology'
+paperurl: 'https://doi.org/10.1101/2024.01.24.576988'
+citation: 'Sanchez-Blazquez M, Guerrero-Lopez A, Candela A, Belenguer-Llorens A, Moreno JM, Sevilla Salcedo C, Sanchez-Cueto M, Arroyo MJ, Calama N, Martin A, Gomez-Verdejo V. Rapid, automatic typing of Clostridioides difficile Ribotypes Using MALDI-TOF MS. bioRxiv. 2024:2024-01. Submitted to Nature Microbiology.'
+---
+
+The dataset used is also publicly avaiable at [Zenodo](https://zenodo.org/records/10370872)!