Publications related to Personalized Drug Administrations Using Support Vector Machine

Related publications (31)

An all-in-one pipeline for the in vitro discovery and in vivo testing of Plasmodium falciparum malaria transmission blocking drugs

Elimination of malaria will require new drugs with potent activity against Plasmodium falciparum mature stage V gametocytes, the only stages infective to the mosquito vector. The identification and comprehensive validation of molecules active against these ...

2025

Determination of a clinically effective evobrutinib dose: Exposure-response analyses of a phase II relapsing multiple sclerosis study

Mitchell David Anderson

The pharmacometric analysis of the double-blind, randomized, phase II study (NCT02975349) investigating the safety and efficacy of evobrutinib, explored exposure-response relationships and suitable dosing regimens of evobrutinib for relapsing multiple scle ...

WILEY2022

Repurposed drug combination via high-throughput screening and dual drug delivery system development for the treatment of retinoblastoma

Po-Jen Tseng

The goal of retinoblastoma (RB) treatment is to save the child's life, eyes and functional vision, with that order of priority. The management of RB is complex and involves strategically chosen methods of surgical enucleation, external beam radiotherapy, i ...

EPFL2022

Rational design of protein switches: applications in synthetic biology and cancer immunotherapy

Sailan Shui

Synthetic biology aims to engineer cells as miniature biological devices to sense, process, and respond to exogenous stimuli. Protein switches are designed to sense and respond to various molecular queues in a fast and specific manner, which fits the requi ...

EPFL2022

Novel High-Throughput Fluorescence-Based Assay for the Identification of Nematocidal Compounds That Target the Blood-Feeding Pathway

Nicola Harris, Gerardo Turcatti, Marc Chambon, Anthony Marchand, Tiffany Babette Angélique Bouchery, Mati André Marie Moyat

Hookworm infections cause a neglected tropical disease (NTD) affecting ~740 million people worldwide, principally those living in disadvantaged communities. Infections can cause high morbidity due to their impact on nutrient uptake and their need to feed o ...

2022

Identification and Quantification of Multiple Drugs by Machine Learning on Electrochemical Sensors for Therapeutic Drug Monitoring

Sandro Carrara, Francesca Rodino, Lin Du

Electrochemical sensors play a pivotal role in advancing therapeutic drug monitoring (TDM) and personalized therapy. However, the insufficient selectivity of electrochemical sensors based on cytochromes P450 poses a great need for innovative machine learni ...

2024

Laser-induced liquid micro-jets for drug delivery

Jan Krizek

Jet injection devices have been studied and developed for transdermal drug delivery to avoid the use of needles. Such contact-less devices provide several advantages such as better dose control, lateral and depth localisation, lower collateral damage than ...

EPFL2021

Therapeutic approaches against coronaviruses acute respiratory syndrome

Francesco Stellacci

Coronaviruses represent global health threat. In this century, they have already caused two epidemics and one serious pandemic. Although, at present, there are no approved drugs and therapies for the treatment and prevention of human coronaviruses, several ...

JOHN WILEY & SONS LTD2021

Cyclic Peptides for Drug Development

Christian Heinis, Alexander Lund Nielsen, Xinjian Ji

Cyclic peptides are fascinating molecules abundantly found in nature and exploited as molecular format for drug development as well as other applications, ranging from research tools to food additives. Advances in peptide technologies made over many years ...

Wiley-VCH Verlag GmbH2024

Computational drug development for membrane protein targets

Pierre Vogel, Henning Paul-Julius Stahlberg, Shuguang Yuan, Dongchun Ni, Babatunde Edukpe Ekundayo

The application of computational biology in drug development for membrane protein targets has experienced a boost from recent developments in deep learning-driven structure prediction, increased speed and resolution of structure elucidation, machine learni ...

2024

Towards the Development of Orally Available Peptide Therapeutics

Christian Heinis, Xudong Kong

Peptides have a number of attractive properties that make them an interesting modality for drug development, including their ability to bind challenging targets, their high target specificity, and their non-toxic metabolic products. However, a major limita ...

2021

Establishment of a Therapeutic Ratio for Gamma Knife Radiosurgery of Trigeminal Neuralgia: The Critical Importance of Biologically Effective Dose Versus Physical Dose

Constantin Tuleasca, Adrien Jean Régis Maurice Hilaire

OBJECTIVE: How variations of treatment time affect the safety and efficacy of Gamma Knife (GK) radiosurgery is a matter of considerable debate. With the relative simplicity of treatment planning for trigeminal neuralgia (TN), this question has been address ...

2020

A wearable electrochemical sensing system for non-invasive monitoring of lithium drug in bipolar disorder

Giovanni De Micheli, Sandro Carrara, Irene Taurino, Francesca Criscuolo

Lithium represents the main drug for the treatment of Bipolar Disorder (BD) as it acts as a mood stabilizer. However, because of its narrow therapeutic window, psychiatric patients are obliged to frequent tests in hospital to control their lithium blood co ...

2021

Update on yesterday's dose-Use of delivery log-files for daily adaptive proton therapy (DAPT)

Marco Matter

In daily adaptive proton therapy (DAPT), the treatment plan is re-optimized on a daily basis. It is a straightforward idea to incorporate information from the previous deliveries during the optimization to refine this daily proton delivery. A feedback sign ...

2020

Wearable multi-electrode platform for ion sensing

Francesca Criscuolo

With the growth of personalized medicine and e-Health, there has been an increasing interest in the development of accurate sensing systems able to support this healthcare revolution for both in- and off-hospital monitoring. Remote biosensing devices can d ...

EPFL2020

Experimental And Theoretical Insight Into Formulations Based On Poly(Vinyl Alcohol Boric Acid) And Diclofenac Sodium Salt

Maria-Alexandra Paun

A series of three formulations were prepared in view of experimental and theoretical investigation of their drug release potential. The morphology of the film formulations, in terms of distribution of drug into the polymeric matrix and the nature of the dr ...

UNIV POLITEHNICA BUCHAREST, SCI BULL2020

Multimodal imaging and high-throughput image-processing for drug screening on living organisms on-chip

Michaël Unser, Martinus Adela Maria Gijs, Johan Auwerx, Matteo Cornaglia, Laurent Mouchiroud, Daniel Migliozzi, Virginie Sophie Uhlmann

A major step for the validation of medical drugs is the screening on whole organisms, which gives the systemic information that is missing when using cellular models. Caenorhabditis elegans is a soil worm that catches the interest of researchers who study ...

SPIE Society of Photo-optical Instrumentation Engineers2019

Design and validation of bioorthogonal probes for cellular disease models

Pier Luca D'Alessandro

Well-validated chemical probes enable testing of biological hypotheses, investigation of target tractability and translatability to the clinical phase. Consequently, these important tool compounds play a key role in the drug discovery process. Moreover, th ...

EPFL2019

Advancing Drug Discovery via Artificial Intelligence

Horst Arthur Vogel, Shuguang Yuan, Thamani Dahoun

Drug discovery and development are among the most important translational science activities that contribute to human health and wellbeing. However, the development of a new drug is a very complex, expensive, and long process which typically costs 2.6 bill ...

ELSEVIER SCIENCE LONDON2019

Optimised three-dimensional in vitro retinoblastoma models tailored for drug discovery and clinical translatability

Irina Sinenko

Retinoblastoma, while relatively rare, stands as the most prevalent intraocular cancer. In Switzerland, the survival rate approaches 100%, but it drops to less than 50% in low-income countries. The current treatment options for retinoblastoma rely on a lim ...

EPFL2023