Bianca Isabel Ramirez

Mrs. Bianca Isabel Ramirez


Research Focus & Metrics

Academic Career Length

3Years (2024-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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14 October 2024 in Pharmaceutics
Verified
Journal Article
Open access
PDF file
DSDolores R Serrano
Dolores R Serrano
FLFrancis C. Luciano
Francis C. Luciano
Brayan J AnayaBrayan J Anaya
Brayan J Anaya
BOBaris Ongoren
Baris Ongoren
AKAytug Kara
Aytug Kara
Aikaterini LalatsaAikaterini Lalatsa
Aikaterini Lalatsa
Artificial intelligence (AI) encompasses a broad spectrum of techniques that have been utilized by pharmaceutical companies for decades, including machine learning, deep learning, and other advanced computational methods. These innovations have unlocked unprecedented opportunities for the acceleration of drug discovery and delivery, the optimization of treatment regimens, and the improvement of patient outcomes. AI is swiftly transforming the pharmaceutical industry, revolutionizing everything from drug development and discovery to personalized medicine, including target identification and validation, selection of excipients, prediction of the synthetic route, supply chain optimization, monitoring during continuous manufacturing processes, or predictive maintenance, among others. While the integration of AI promises to enhance efficiency, reduce costs, and improve both medicines and patient health, it also raises important questions from a regulatory point of view. In this review article, we will present a comprehensive overview of AI’s applications in the pharmaceutical industry, covering areas such as drug discovery, target optimization, personalized medicine, drug safety, and more. By analyzing current research trends and case studies, we aim to shed light on AI’s transformative impact on the pharmaceutical industry and its broader implications for healthcare.

15 October 2025 in Pharmaceutics
Verified
Journal Article
Open access
PDF file
DSDolores R Serrano
Dolores R Serrano
FJFrancisco Juste
Francisco Juste
Brayan J AnayaBrayan J Anaya
Brayan J Anaya
BRBianca Isabel Ramirez
Bianca Isabel Ramirez
Sergio Alberto Sanchez GuiralesSergio Alberto Sanchez Guirales
Sergio Alberto Sanchez Guirales
Aikaterini LalatsaAikaterini Lalatsa
Aikaterini Lalatsa
Exosomes, naturally derived extracellular vesicles, have emerged as powerful bio-nanocarriers in precision medicine. Their endogenous origin, biocompatibility, and ability to encapsulate and deliver diverse therapeutic payloads position them as transformative tools in drug delivery, gene therapy, and regenerative medicine. This review presents a comprehensive analysis of exosome-based therapeutics across multiple biomedical domains, including cancer, neurological and infectious diseases, immune modulation, and tissue repair. Exosomes derived from stem cells, immune cells, or engineered lines can be loaded with small molecules, RNA, or CRISPR-Cas systems, offering highly specific and low-immunogenic alternatives to viral vectors or synthetic nanoparticles. We explore endogenous and exogenous loading strategies, surface functionalization techniques for targeted delivery, and innovations that allow exosomes to traverse physiological barriers such as the blood–brain barrier. Furthermore, exosomes demonstrate immunomodulatory and regenerative properties in autoimmune and degenerative conditions, with promising roles in skin rejuvenation and cosmeceuticals. Despite their potential, challenges remain in large-scale production, cargo loading efficiency, and regulatory translation. Recent clinical trials and industry efforts underscore the accelerating momentum in this field. Exosomes represent a promising platform in precision medicine, though further standardization and validation are required before widespread clinical use. This review offers critical insights into current technologies, therapeutic mechanisms, and future directions to unlock the full translational potential of exosomes in clinical practice.

2 November 2024 in Journal of Fungi
Verified
Journal Article
Open access
PDF file
CRChrysi Rapti
Chrysi Rapti
FLFrancis C. Luciano
Francis C. Luciano
Brayan J AnayaBrayan J Anaya
Brayan J Anaya
BRBianca Isabel Ramirez
Bianca Isabel Ramirez
BOBaris Ongoren
Baris Ongoren
DSDolores R Serrano
Dolores R Serrano
Fungal keratitis (FK), a severe eye infection that leads to vision impairment and blindness, poses a high risk to contact lens users, and Candida albicans remains the most common underpinning fungal pathogen in temperate climates. Patients are initially treated empirically (econazole 1% drops hourly for 24–48 h), and if there is no response, amphotericin B (AmB) 0.15% eye drops (extemporaneously manufactured to be stable for a week) are the gold-standard treatment. Here, we aim to develop a sustained-release AmB ocular film to treat FK with an enhanced corneal retention time. As there is a paucity of reliable in vitro models to evaluate ocular drug release and antifungal efficacy under flow, we developed a 3D-printed microfluidic device based on four chambers stacked in parallel, in which lenses previously inoculated with a C. albicans suspension were placed. Under the flow of a physiological fluid over 24 h, the release from the AmB-loaded film that was placed dry onto the surface of the wetted contact lenses was quantified, and their antifungal activity was assessed. AmB sodium deoxycholate micelle (dimeric form) was mixed with sodium alginate and hyaluronic acid (3:1 w/w) and cast into films (0.48 or 2.4%), which showed sustained release over 24 h and resulted in a 1.23-fold reduction and a 5.7-fold reduction in CFU/mL of C. albicans, respectively. This study demonstrates that the sustained delivery of dimeric AmB can be used for the treatment of FK and provides a facile in vitro microfluidic model for the development and testing of ophthalmic antimicrobial therapies.