BioImaging
BioImaging (BIM)
BioImaging is an exciting and growing field overlapping the interfaces of engineering, mathematics and computer science, as well as chemistry, physics, life science, and medecine. The main goal of bioimaging is to improve human health by using imaging modalities to advance diagnosis, treatment, and prevention of human diseases.
The BIM track offers high-level interdisciplinary education and training supported by the complementary skills of Université Paris Cité and ParisTech. A large network of research laboratories provides students access to industrial and experimental imaging systems that utilize innovative technologies.
The BIM track is accessible to engineering and life-science students (medicine, pharmacology, biology, chemistry, biochemistry, physics) preparing for career paths in academic research or industrial R&D environments. It relies on close collaboration between Université Paris Cité, Arts et Métiers Institute of Technology and the PSL engineering schools (Mines ParisTech, ESPCI Paris, Chimie ParisTech), in partnership with Telecom ParisTech. The BIM curriculum itself consists of fifteen courses (UE) at the M2 level that are organized, taught, and overseen by faculty members expert in the appropriate fields.
Course Selection
During the M2 year, students select two 6-ECTS courses (UE), two 3-ECTS UE, and one 6-ECTS or two 3-ECTS additional UE(s) (possibly in another track). The set of each student’s elective courses is determined according to his/her professional objectives and approved by their track advisor.
Internship
The 5-month internship can be performed in any academic or industrial laboratory, pending approval from the track advisor.
Semester 3
Mandatory courses
Course Title: Open Your Mind Seminars
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Mandatory course ☐ Optional course ☐
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Course Title: Interdisciplinary week
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Total number of hours: Number of ECTS: Semester
Mandatory course ☐ Optional course ☐
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Course Title: Medical Image Analysis
Description: The main objective of this course is to provide the students with the means to understand and use the most common tools used in bio-medical image analysis, this will include notions about the sampling and quantification of images, image filtering, image segmentation, Image segmentation, video sequences & motion processing, 3-D Image processing, and short introduction to the extraction/measurement of quantitative features and pattern recognition.
Key words: Image processing, Bio-medical images
Total number of hours: 40 Number of ECTS: 6 Semester 3
Mandatory course ☒ Optional course ☐
Prerequisites/skills needed: This course requires familiarity with basic mathematics: Linear algebra: linear equations, vectors, matrices; Analysis: continuous function, graph of a function, basic notions of differentiation and integration; Geometry: point, segment, line, curve, surface; Probabilities: probability distribution. Engineers are expected to have some basic knowledge in programming with Matlab, Java or C/C++. Basic knowledge about numerical analysis is also expected
Teaching methods and activities: Lectures (CM), practical sessions (TD), other: project
Location: Arts et Métiers Institute of Technology
Course supervisor: Florence CLOPPET (associate professor), Petr DOKLADAL (engineer) and Nicolas LOMENIE (associate professor)
One course (6 ECTS) to be picked among
Course Title: Physics for BioImaging
Description: Physical principles behind biomedical imaging technologies. Beginning with the fundamental principles for X-ray computed tomography, magnetic resonance imaging, nuclear medicine and ultrasound students will learn the physical concepts related to detectors and image formation. Principles are related to practical imaging configurations so that knowledge can be applied to better select and design imaging toward new applications. Most recent advances in biomedical imaging technologies such as novel detectors and multi-wave techniques are presented by expert researchers to prepare for the biomedical imaging environment of the future. Ultrasound physics for wave propagation and scattering are explained and further developed to include principles behind multiwave imaging and ultrasound therapy. Physics principles behind the detection of ultrasound contrast agents are covered. Physics of ionizing radiation is explained PET Gamma Cameras and PET scans are explained along with the basic physics of computed tomography. New flat panel detectors for conventional radiology and strategies for dose reduction and other new perspectives are presented. . MRI principles and diffusion and spectrometry MRI are explained (Means to use MRI to evaluate microcirculation and inhomogeneous Magnetization transfer). Imaging-guided therapies are increasingly used, replacing surgery in certain situations. Simulator work will allow the student to become familiar with these techniques.
Key words: MRI, CT, Nuclear Medicine, Ultrasound, Physics, image formation, instrumentation
Total number of hours: 40 Number of ECTS: 6 Semester 3
Mandatory course ☐ Optional course ☒
Prerequisites/skills needed: Principles of Fourier Transform, Physics notions: electromagnetism, magnetostatics, spin magnetic moments, radiation, wave propagation
Teaching methods and activities: Lectures (CM), practical sessions (TD), other: visits on platforms
Location: université paris cité, Campus Saint-Germain-des-Prés
Course supervisor: Lori BRIDAL (researcher) and Mathilde WAGNER (associate professor)
Course Title: Chemistry for Bioimaging : Basics, probes and nanomedicine
Description: The chemistry for bioimaging course (innovative probes and nanomedicine) is dedicated to engineers, physicists, physicians, biologists, chemists. It brings expertise in chemistry and chemical properties of imaging probes used and developed in medical and biomedical imaging, in particular molecular and functional imaging using chemical imaging agents. This knowledge and expertise in the chemical properties of imaging agents will allow users to know how to use them in practice wisely for diagnostic purposes for the detection of pathologies as well as the monitoring of therapies. This teaching will allow to know how to manage their preparation, their possible formulation and their route of administration, associated with the methods of acquisition of imaging in all the modalities (MRI, Ultrasound, Optics, Nuclear Medicine, EPR, CT). It will inversely supply the knowledge of the commercial and innovative imaging agents to be able to perform a better preclinical or clinical diagnosis, with existing and developing medical imaging modalities. The latest development of imaging probes will be taught, and illustrated with many recent applications in preclinical and clinical. In addition, practical course demonstrations on all In Vivo imaging facilities of Paris Descartes, scanning all imaging modalities, will be organized in order to understand concretely the applications.
Key words: Innovative Probes, Nanomedicine, Pre-clinical and Clinical Diagnosis
Total number of hours: 45 Number of ECTS: 6 Semester 3
Mandatory course ☐ Optional course ☒
No prerequisites/skills needed
Teaching methods and activities: Lab sessions (TP), lectures (CM), other: visits on platforms
Location: Université Paris Cité, Campus Saint-Germain-des-Prés
Course supervisor: Bich-Tuy DOAN (researcher) and Yves FRAPART (researcher ingineer)
Course Title: Optical Imaging
Description: The objective of the course is to give insights into modern research trends in biophotonics. The course provides in particular an overview of the various optical techniques available for biomedical imaging and detection, giving their characteristics and highlighting their advantages and drawbacks.From widefield microscopy to super-resolution and two-photon imaging, this course of 36h alternating theory lectures and practical labworks will provide the essential notions in modern light microscopy. New techniques are discussed: widefield, confocal, non-linear microscopy, super-resolution approaches (PALM, STORM, STED, SIM). From single protein and simple cell layer to the whole organ, model organisms and small animals, we will discuss about the most adapted imaging technique. Notions of image analysis will be presented, either on 3D visualization or on deconvolving and filtering the images acquired during the labworks.
Key words: Light microscopy, image processing, linear optics, non-linear optics, super-resolution microscopy
Total number of hours: 36 Number of ECTS: 6 Semester 3
Mandatory course ☐ Optional course ☒
Prerequisites/skills needed: Linear optics, good notions in biology
Teaching methods and activities: Lab sessions (TP), lectures (CM)
Location: université paris cité, Campus Saint-Germain-des-Prés and Institut Cochin
Course supervisor: Benoit FORGET (professor) and Thomas GUILBERT (researcher ingineer)
15 ECTS (minimum) to be picked among
Course Title: Molecular Imaging
Description: Molecular Imaging is non invasive in vivo biochemistry: in vivo means real-life environment, non invasive means repeatable, molecular biology (~biochemistry) means relevant to molecular diseases such as cancer, inflammation, cardiovascular diseases, etc. The course will present practical up-to-date examples of Whole body, 3D, Quantitative, Dynamic and Multiplexed molecular imaging research and achievements.
Key words: Molecular imaging, molecular medicine, experimental imaging
Total number of hours: 20 Number of ECTS: 3 Semester 3
Mandatory course ☐ Optional course ☒
Prerequisites/skills needed: Interest for Molecular aspects of life
Teaching methods and activities: Lectures (CM), other: personal assignment
Location: université paris cité, Campus Saint-Germain-des-Prés
Course supervisor: Bertrand TAVITIAN (professor) and François ROUZET (professor)
Course Title: Functional and Metabolic Imaging
Description: This course provides a general introduction to functional and metabolism imaging techniques (fMRI, Diffusion MRI and PET) and concrete examples of clinical applications with hands-on experience of processing data on clinical routine workstations. It is composed of 2 parts organized as follows: 1. Brain Imaging: General introduction of Imaging techniques and associated clinical applications (PET, – Functional neuroimaging, Diffusion-weighted magnetic resonance imaging) and Hands-on on Image analysis of clinical cases on routine workstations (Perfusion MRI and PET: multimodality fusion on several clinical cases, Diffusion imaging and fMRI: Application to brain tumors) 2. Body Imaging: Introduction to the concept of functional and metabolism imaging (MRI, CT and ultrasound), Imaging of MRI diffusion, Quantitative imaging of microcirculation (A hands-on session is proposed using a digital microcirculation simulator), Imaging of tissue elasticity (Elastography) by MRI and ultrasound. Radiomics (principles and methodology): the links with other -omics are explained and the relationship with the phenotype is explored. Notions illustrated by applications related to different organs: liver, ENT organs, kidneys … and cancerous tumors. The applications related to the prognosis of the lesions and the evaluation under treatment are also described.
Key words: Brain Imaging, Body Imaging, MRI Diffusion, Elastography, Radiomics, Multimodality
Total number of hours: 24 Number of ECTS: 3 Semester 3
Mandatory course ☐ Optional course ☒
No prerequisites/skills needed
Teaching methods and activities: Lectures (CM), practical sessions (TD)
Location: université paris cité, Campus Saint-Germain-des-Prés
Course supervisor: Charles-André CUENOD (PU-PH) and Myriam EDJALI-GOUJON (doctor)
Course Title: Quantification for Diagnosis: Industrial and Medical Applications in Medical Image Analysis
Description: The objective of the course is to show the students a panorama of several clinical and industrial applications in medical image analysis. The course will be taught by pairs of academic or industrial researchers and clinicians working together on the same clinical problem. They will show how mathematical models and algorithms can answer to clinical demands producing tools, patents and machines used on a daily basis in hospitals.
Key words: Industrial medical applications, clinical applications
Total number of hours: 24 Number of ECTS: 3 Semester 3
Mandatory course ☐ Optional course ☒
Prerequisites/skills needed: Industrial medical applications, clinical applications
Teaching methods and activities: Lectures (CM), practical sessions (TD), other: personal assignment (bibliography report)
Location: Arts et Métiers Institute of Technology
Course supervisor: Pietro GORI (associate professor) and Elsa ANGELINI (associate professor)
Course Title: Quantification for Neuroimaging
Description: The module aims at providing students with an insight on advanced methods in data modelling and analysis as used in neuroimaging research labs. The methods are selected to present four differents aspects of brain acitivity and connectivity: – diffusion MRI and tractography – activation fMRI and activation networks – resting state fMRI and resting state connectivity – Magneto Encephalography and source reconstruction Each lecture starts with a presentation of the critical theoretical knowledge regarding the neuroimaging modality, the specificities of the generated data, and the methodology for image analysis. Then, praticals on state-of-the-art softwares and real datasets provide hands-on experience of data processing. This interplay between theory and practice teaches students how to apply their knowledge and skills to handle cutting-edge methods applied to neuroimaging data and how to consider the limitations of such methods and their impact on the interpretation of results. Critically, the lectures present various methodological developments to overcome these issues (artifact correction, bias modeling,…).
Key words: Functional MRI, Electroencephalography, Magnetoencephalography
Total number of hours: 20 Number of ECTS: 3 Semester 3
Mandatory course ☐ Optional course ☒
Prerequisites/skills needed: Linear algebra, Basic programming skills (Matlab or Python)
Teaching methods and activities: Lectures (CM), practical sessions (TD), other: personal assignment
Location: Arts et Métiers Institute of Technology
Course supervisor: Alexandre GRAMFORT (researcher) and Sylvain CHARRON (researcher engineer)
Course Title: Quantification for Bioimaging
Description: This lecture provides basic knowledge about the key-concepts of the bioimaging analysis from optical microscopy. It is composed of 5 classes divided in a theorical part and pratical part by manipulating images under the Icy platform : Part 1: General overview of the bioimaging analysis and basic concepts: Part 2: Spot detection and tracking (intra-cellular particles) Labeling intra-cellular particles (virus, endosomes, etc.) can be seen as spots in noisy background. We will present the approaches of Part 3: Cell detection and tracking from video microscopy sequences (deformable models) Presentation of the interest of the detection and analysis from video microscopy sequences Part 4: Digital pathology (color representation, color image processing, big data).
Key words: Spot Detection, Cell Detection, Tracking, Video-microscopy, Digital Pathology
Total number of hours: 20 Number of ECTS: 3 Semester 3
Mandatory course ☐ Optional course ☒
No prerequisites/skills needed.
Teaching methods and activities: Lectures (CM), practical sessions (TD), other: personal assignment
Location: Arts et Métiers Institute of Technology
Course supervisor: Vannary MEAS-YEDID (researcher engineer)
Course Title: Machine Learning
Description: – Learn the principles and hypothesis behind the different machine learning techniques – Understand the pros and cons of every method – Learn how to use them on real high-dimensional biomedical imaging data (Big Data) – Use different techniques in practice.
Key words: Statistical machine learning, deep learning
Total number of hours: 23 Number of ECTS: 3 Semester 3
Mandatory course ☐ Optional course ☒
Prerequisites/skills needed: Basic courses in Linear Algebra, Statistics, Optimization and Programming (for clinicians this is not mandatory but they must be willing to code and see equations during the lectures …)
Teaching methods and activities: Lectures (CM), practical sessions (TD)
Location: Arts et Métiers Institute of Technology
Course supervisor: Pietro GORI (associate professor) and Petr DOKLADAL (associate professor)
Course Title: Physics for BioImaging
Description: Physical principles behind biomedical imaging technologies. Beginning with the fundamental principles for X-ray computed tomography, magnetic resonance imaging, nuclear medicine and ultrasound students will learn the physical concepts related to detectors and image formation. Principles are related to practical imaging configurations so that knowledge can be applied to better select and design imaging toward new applications. Most recent advances in biomedical imaging technologies such as novel detectors and multi-wave techniques are presented by expert researchers to prepare for the biomedical imaging environment of the future. Ultrasound physics for wave propagation and scattering are explained and further developed to include principles behind multiwave imaging and ultrasound therapy. Physics principles behind the detection of ultrasound contrast agents are covered. Physics of ionizing radiation is explained PET Gamma Cameras and PET scans are explained along with the basic physics of computed tomography. New flat panel detectors for conventional radiology and strategies for dose reduction and other new perspectives are presented. . MRI principles and diffusion and spectrometry MRI are explained (Means to use MRI to evaluate microcirculation and inhomogeneous Magnetization transfer). Imaging-guided therapies are increasingly used, replacing surgery in certain situations. Simulator work will allow the student to become familiar with these techniques.
Key words: MRI, CT, Nuclear Medicine, Ultrasound, Physics, image formation, instrumentation
Total number of hours: 40 Number of ECTS: 6 Semester 3
Mandatory course ☐ Optional course ☒
Prerequisites/skills needed: Principles of Fourier Transform, Physics notions: electromagnetism, magnetostatics, spin magnetic moments, radiation, wave propagation
Teaching methods and activities: Lectures (CM), practical sessions (TD), other: visits on platforms
Location: université paris cité, Campus Saint-Germain-des-Prés
Course supervisor: Lori BRIDAL (researcher) and Mathilde WAGNER (associate professor)
Course Title: Chemistry for Bioimaging : Basics, probes and nanomedicine
Description: The chemistry for bioimaging course (innovative probes and nanomedicine) is dedicated to engineers, physicists, physicians, biologists, chemists. It brings expertise in chemistry and chemical properties of imaging probes used and developed in medical and biomedical imaging, in particular molecular and functional imaging using chemical imaging agents. This knowledge and expertise in the chemical properties of imaging agents will allow users to know how to use them in practice wisely for diagnostic purposes for the detection of pathologies as well as the monitoring of therapies. This teaching will allow to know how to manage their preparation, their possible formulation and their route of administration, associated with the methods of acquisition of imaging in all the modalities (MRI, Ultrasound, Optics, Nuclear Medicine, EPR, CT). It will inversely supply the knowledge of the commercial and innovative imaging agents to be able to perform a better preclinical or clinical diagnosis, with existing and developing medical imaging modalities. The latest development of imaging probes will be taught, and illustrated with many recent applications in preclinical and clinical. In addition, practical course demonstrations on all In Vivo imaging facilities of Paris Descartes, scanning all imaging modalities, will be organized in order to understand concretely the applications.
Key words: Innovative Probes, Nanomedicine, Pre-clinical and Clinical Diagnosis
Total number of hours: 45 Number of ECTS: 6 Semester 3
Mandatory course ☐ Optional course ☒
No prerequisites/skills needed
Teaching methods and activities: Lab sessions (TP), lectures (CM), other: visits on platforms
Location: université paris cité, Campus Saint-Germain-des-Prés
Course supervisor: Bich-Tuy DOAN (researcher) and Yves FRAPART (researcher ingineer)
Course Title: Optical Imaging
Description: The objective of the course is to give insights into modern research trends in biophotonics. The course provides in particular an overview of the various optical techniques available for biomedical imaging and detection, giving their characteristics and highlighting their advantages and drawbacks.From widefield microscopy to super-resolution and two-photon imaging, this course of 36h alternating theory lectures and practical labworks will provide the essential notions in modern light microscopy. New techniques are discussed: widefield, confocal, non-linear microscopy, super-resolution approaches (PALM, STORM, STED, SIM). From single protein and simple cell layer to the whole organ, model organisms and small animals, we will discuss about the most adapted imaging technique. Notions of image analysis will be presented, either on 3D visualization or on deconvolving and filtering the images acquired during the labworks.
Key words: Light microscopy, image processing, linear optics, non-linear optics, super-resolution microscopy
Total number of hours: 36 Number of ECTS: 6 Semester 3
Mandatory course ☐ Optional course ☒
Prerequisites/skills needed: Linear optics, good notions in biology
Teaching methods and activities: Lab sessions (TP), lectures (CM)
Location: université paris cité, Campus Saint-Germain-des-Prés and Institut Cochin
Course supervisor: Benoit FORGET (professor) and Thomas GUILBERT (researcher ingineer)
Course Title: Advanced Optical Imaging
Description:
Key words:
Total number of hours: Number of ECTS: Semester
Mandatory course ☐ Optional course ☐
Prerequisites/skills needed:
Teaching methods and activities: l
Location:
Course supervisor:
Course Title: A window into the mind : new technologies to explore and stimulate the brain
Description: This UE presents the following topics as 2- to 3h lectures : Overview of the neurophysiological mechanisms related to the different methods of exploration of brain activity – Principles of experimental research in Neuroscience – Exploration of Brain activity: Basic concepts and description of intracranial recordings in behaving animals and optogenetics – Non-invasive exploration and stimulation in human brain: fIRM and TMS – Acoustical brain imaging: from observation to treatment – Optogenetics and machine learning in Neuroscience – Brain imaging with voltage-sensitive dyes – Two-photon microscopy introduction and new evolution: Fast multisite optical recordings with acousto-optic deflectors. The UE also includes one day devoted to presentations of scientific papers by students in front of the class.
Key words: Brain imaging, optogenetics, ultrasound
Total number of hours: 29 Number of ECTS: 3 Semester 3
Mandatory course ☒ Optional course ☒
Prerequisites/skills needed: Some basic neuroscience (cf UE Refresher courses), notions in frequency analysis
Teaching methods and activities: Lectures (CM), other: article presentations by students
Location: ESPCI Paris
Course supervisor: Karim BENCHENANE (researcher)
Course Title: From real to artificial neurons, and back
Description: The purpose of this teaching unit is to :
– Discover and master the basics of Artificial Intelligence and its most common tools (Tensorflow, Pytorch, AI platform)
– Discover and master the basics of analyzing large datasets. Python, Matlab, dimensionality reduction, linear decoder
– Compare classical and artificial intelligence-based approaches. Understand the logic, advantages and limitations of each approach
– Know and understand the learning rules of real and artificial neural networks. Understand the differences and the potential of each
– Discovery of the rules of human and mammalian learning.
– Use the tools taught to analyze data from different fields. 1) data from academic research in neuroscience, 2) data from biotechnology start-ups on Brain-Computer Interfaces and 3) data from private companies. Use the same tools appropriate to the question being asked. Discover the importance of data structure to use the right tools.
– Generalization of acquired knowledge to different professional opportunities. Discovery of the academic research environment, the private research environment in start-ups and the private nonresearch environment.
Total number of hours: 27,5 Number of ECTS: 3 Semester 3
Mandatory course ☐ Optional course ☒
Prerequisites/skills needed: Basic knowledge of Python and/or Matlab may be useful (cf Research Methodology course)
Teaching methods and activities: Lectures (CM) and Tutorials (TD)
Location: ESPCI Paris
Course supervisor: Karim BENCHENANE (Researcher)
Course Title: Basics in Tissue and Cell Biology
Description: This lecture is for scientific students who didn’t receive a biological/medical knowledge. The classes provide a fundamental knowledge about the basics in biology. The lecture is composed of 4 parts:
Part 1 – General principles of cell and molecular biology:
– Cell structures and molecular components of the cell (nucleic acids, proteins, lipids, sugars)
– Cell proliferation, differentiation and death
– Regulation of gene expression
– Introduction to cell metabolism
– Interactions between the cell and its environment
Part 2 – Basic techniques of cell and molecular biology:
– Cell biology: – cell culture / – microscopy
– Molecular biology: – computer-assisted sequence-analyses (nucleic acids, proteins) /- extraction and analyses of nucleic acids, proteins and of their interactions /- DNA cloning, mutagenesis, transfection
Part 3 – Mechanical stress and cell signaling in cartilage and intervertebral disc
Part 4 – Cartilage cell biology and bioengineering
Key words: Cell biology
Total number of hours: 24 Number of ECTS: 3 Semester 3
Mandatory course ☒ Optional course ☐
No prerequisites/skills needed.
Teaching methods and activities: Lectures (CM)
Location: Arts et Métiers Institute of Technology
Course supervisor: François RANNOU (PU-PH) and Caroline CHAUVET (associate professor)
Course Title: Practical training in bioengineering
Description: The aim of this module is to provide students the opportunity to carry out hands on state-of-the-art research during one week. The practical work is conceived as an illustration of the lectures, but also as a preparation for the laboratory experimental internship of the second trimester. Most of the practical work comes from and is based on research carried out in the host laboratories. The module is organized in 5 separate series each comprising 5 consecutive practical sessions of 4H each (20H in total). Each group of students (including 4 students) chooses and carries out a single series of 5 consecutive sessions, concluded by a restitution session in front of all students.
Series 1: Tissue engineering assisted by magnetic manipulation and MRI monitoring.
Series 2: Image-guided drug delivery and photo-activated anti-tumor therapy via extracellular vesicles from stem cells.
Series 3: Experimental Surgery and Small Animal Imaging in fistula therapy using a thermoresponsive hydrogel
Series 4: Physical Embryology: how physical triggers modulate the dynamics of organogenesis in chicken embryo
Series 5: Mechanics of development: physiology, mechanical and drug effects on the digestive peristatic movement in the developing embryo enteric nervous system.
Key words: Tissue engineering, nanomedicine, nanoparticles, MRI, imaging, drug delivery, morphogenesis, physical stimulation, experimental surgery, extracellular vesicles
Total number of hours: 20 Number of ECTS: 3 Semester 3
Mandatory course ☐ Optional course ☒
No prerequisites/skills needed:
Teaching methods and activities: Lab sessions (TP)
Location: université paris cité, Campus Saint-Germain-des-Prés, HEGP MRI platform
Course supervisor: Florence GAZEAU (doctor) and Amanda WILHELM (doctor)
Course Title: Biosensors for medical diagnosis
Description: This course provides basic and applied knowledge about biosensors and the key concepts for their design for biomedical and diagnosis applications. It is composed of classes organized into 3 parts:
Part1: Principles and conception of biosensors
Definition of a biosensor and main development techniques for medical applications
Biosensor Principle – Biologic recognition, Natural, Synthetic or Mimetic – Electrochemical Transduction – Miniaturization
Surface grafting and coupling reactions – Kinetics Laws, from -Macro to -Nano Scale
Applications to detection of species of biomedical interest (Glucose, ROS / RNS, Nucleic Acid, NO)
Colloidal nanoparticles as advanced biological sensors. Application for the ultrasensitive detection of cancer biomarkers in human biofluids.
Integration of nanoparticle biosensors with advanced DNA/RNA target amplification protocol.
Multiplexed sensing: sensing of mRNA, multiplexed detection of analytes with simple technologies such as smartphones
Part 2: Main applications of biosensing in medicine
A series of lectures by hospital experts on the diagnostic aspect and the use of biosensors in the medical field and Diagnosis
– Diagnostics and biomarkers.
– Luminex technology, immunoassay.
– Applications: Ebola test, Diagnosis test of bacterial resistance to antibiotics.
Part 3 : Innovation and technology transfer
Key words: Analysis, sensors and biosensors, diagnosis
Total number of hours: 24 Number of ECTS: 3 Semester 3
Mandatory course ☐ Optional course ☒
Prerequisites/skills needed: Basic knowledge of material chemistry and optical spectroscopy and basic knowledge of electrochemistry, chemistry of solutions and analytical chemistry
Teaching methods and activities: : Lectures (CM), practical sessions (TD), other: projects and flipped classrooms
Location: Chimie Paris
Course supervisor: Cyrine SLIM (associate professor) and Mathieu LAZERGES (associate professor)
Course Title: Anatomy of the Musculo-skeletal System
Description: This course provides basics in functional anatomy focusing on the osteoarticular and muscular systems and their links with the movement. 6 anatomical regions are presented: foot and ankle, hip, knee, spine, elbow and wrist, shoulder. Clinical issues in the orthopaedic field such as prosthetic fitting are also presented.
Key words: Functional anatomy, osteoarticular system, muscles
Total number of hours: 24 Number of ECTS: 3 Semester 3
Mandatory course ☒ Optional course ☐
No prerequisites/skills needed.
Teaching methods and activities: Lectures (CM)
Location: Arts et Métiers Institute of Technology
Course supervisor: Philippe WICART (professor)
Course Title: Research Methodology
Description: The objective of this course is to introduce students to research methodology to use in their master’s thesis work. This module consists of two main sections. The first section introduces the purpose, processes and methodologies of research projects. It aims at increasing student knowledge of academic standard practice (using bibliography tools, writing a research introduction and presenting scientific work orally). The second section focuses on basic statistical tools for quantitative research and more specifically on statistical hypothesis testing.
Key words:
Total number of hours: 24 Number of ECTS: 3 Semester 3
Mandatory course ☐ Optional course ☒
Prerequisites/skills needed: Basics in statistics. Prior to the lecture, students are asked to complete an online refresher course on statistics. A 90 minutes evaluation is done during the first lecture of the course unit to assess that the pre-requisites for statistical hypothesis testing have been met, and to adapt the contents of the following sessions accordingly.
Teaching methods and activities: Lab sessions (TP), lectures (CM), practical sessions (TD)
Location: Arts et Métiers Institute of Technology
Course supervisor: Pierre-Yves ROHAN (assistant professor)
Semester 4
Course Title: Ethical and Industrial Aspects
Description:
Key words:
Total number of hours: Number of ECTS: Semester
Mandatory course ☐ Optional course ☐
Prerequisites/skills needed:
Teaching methods and activities:
Location:
Course supervisor:
Course Title: Research Internship
Description:
Key words:
Total number of hours: Number of ECTS: Semester
Mandatory course ☐ Optional course ☐
Prerequisites/skills needed:
Teaching methods and activities:
Location:
Course supervisor:
NB. No schedule or syllabus will be provided before the kick-off meeting. You must know that it is a full-time program though.
As far as the non mandatory courses are concerned, the students’ choices will have to be discussed with the track chairs and will be finalized during the interdisciplinary week, taking the student’s personal background and interests into consideration. It will then be validated in a co-signed contract of study.
The courses students will eventually attend will also depend on actual availability: some courses might not open because of an insufficient number of attendees, while others may have a limited capacity and not be able to offer a seat to all.
As indicated, a course may be offered to BME Paris students outside the track which supports it. In such cases, priority will be given to students enrolled in the supporting track.
Students enrolled in other Arts et Métiers, Université Paris Cité or Université PSL programs may also attend a BME Paris course, provided that:
- their respective program chairs support their application
- the course is not already full
- the relevant BME Paris chairs accept their applications which must include a CV and a motivation letter