Translating Pre-Clinical Research to Clinical Patient Care™

JMSACL Logo

MSACL 2025

Montr?al Sept 21-26

Educational Grant Partners: Why no logos? CME.
SCIEX

Brian Kelly


Short Courses (In-Person)

All times are EASTERN TIME.

August 1 is the deadline to register if you wish to receive printed course material on-site (if it is provided by the instructor(s)).

The Short Courses for MSACL 2025 will be held only In-Person.

Short courses will be from 8-16 hrs.

Continuing Medical Education (CME) is anticipated to be offered.

You MUST be registered for the conference in order to attend a Short Course. Short Courses have an additional fee.

Short Course Pricing (per HOUR):

EarlyBird
by
Jun 18, 2025
Regular
after
Jun 18, 2025
Late
after
Jul 23, 2025
über-Late
after
Sep 07, 2025
IndustryUSD$45/hUSD$50/hUSD$60/hCLOSED
AcademicUSD$35/hUSD$38/hUSD$41/hCLOSED
StudentUSD$13/hUSD$16/hUSD$20/hCLOSED

All courses are IN-PERSON only.

All short courses are anticipated to include Continuing Medical Education (CME) AMA PRA Category 1 Credit™. The amount of credit assigned to each course may be slightly less than the contact hours stated due to hourly breaks.

*Note : You can take more than one course if they don't overlap. Use segment times listed under the course to coordinate.

Course Offering

Admin Alert: Two or more courses have the same place-order. This needs to be corrected to achieve a proper flow of the course profiles below.

1. Automation 201 : Streamlining Clinical Analysis through Efficient Workflow Integration
- ( contact hours)

2. Clinical Proteomics 201 : Clinical Proteomics
- ( contact hours)

3. Data Science 101 : Breaking Up with Excel
- ( contact hours)

4. Data Science 203 : Machine Learning : A Gentle Introduction
- ( contact hours)

5. Glyco(proteo)mics 101 : Clinical Glyco(proteo)mics by Mass Spectrometry
- ( contact hours)

6. Isotopes 101: Modern Isotope Ratio Analysis for Biomedical Research and Clinical Diagnostics
- ( contact hours)

7. LC-MSMS 101 : Getting Started with Quantitative LC-MSMS in the Diagnostic Laboratory
- ( contact hours)

8. LC-MSMS 203 : Validation of Quantitative LC-MS/MS Assays for Clinical and Academic Use
- ( contact hours)

9. LC-MSMS 302 : Advanced LC-MSMS Method Development, Troubleshooting and Operation for Clinical Analysis
- ( contact hours)

10. Lipidomics 101 : Mass Spectrometry-based Lipidomics and Clinical Applications
- ( contact hours)

Course Summaries

Automation 201 : Streamlining Clinical Analysis through Efficient Workflow Integration
@ Westmount 5

Evan McConnell, PhD
Labcorp

Matthew Campbell, PhD
Labcorp


Course Schedule

Segment 1 : Monday 08:30 - 12:30 (4 h)
Segment 2 : Tuesday 08:30 - 12:30 (4 h)
Segment 3 : Monday 14:30 - 18:30 (4 h)

Total Contact Hours: 12.00

---------------

Pre-requisites

General knowledge of laboratory operations and assay development.

Overview

This course is designed to enhance participants' understanding of how automation technologies can streamline laboratory workflows, improve efficiency, and ultimately lead to better patient outcomes. It addresses the common challenge of knowing where to begin with automation and which tools to use. Through practical examples, participants will identify key areas for automation, focusing on processes such as sample handling, analysis, and reporting, all aimed at increasing accuracy and reducing errors.

The course also explores the integration of electronic data within clinical laboratories, teaching participants common methods to connect data from analytical instruments to data management systems. This will support better decision-making and improve the accuracy of test results. Participants will learn how automation can help minimize pre-analytical errors, directly contributing to more reliable outcomes.

By the end of the course, participants will be equipped to apply automation technologies effectively in their own labs, optimizing workflows, and improving overall laboratory performance. Key topics include automated liquid handling systems, data flow, integrating equipment, and human-centered design to ensure reproducibility and reduce common errors. This course empowers participants to make informed decisions on automation, driving greater precision and efficiency in clinical settings.

Topics Covered

  • The typical clinical laboratory – manual & automated workflows.
  • Principles of automated liquid handling – advantages & best practices.
  • Programming basics – electronic data flow & positive identification.
  • Integrating equipment – joining together distinct systems.
  • Human-centered design – reducing common errors & ensuring reproducibility.
  • Tying it all together – reports & dashboards.

Objectives:

At the conclusion of this short course, the participant will be able to:

  1. Define the key components of clinical laboratory workflows and automation.
  2. Identify capabilities of automated liquid handling systems and troubleshooting strategies.
  3. Discuss the flow of electronic data and integration of data management systems.
  4. Develop an automation toolbox to optimize laboratory workflows.
  5. Understand procedures and tools available to automate processes.
2492
Clinical Proteomics 201 : Clinical Proteomics
@ Westmount 6

Andy Hoofnagle, MD, PhD
University of Washington

Cory Bystrom, PhD
Ultragenyx

Christopher Shuford, PhD
Labcorp


Course Schedule

Segment 1 : Monday 08:30 - 12:30 (4 h)
Segment 2 : Tuesday 08:30 - 12:30 (4 h)
Segment 3 : Monday 14:30 - 18:30 (4 h)

Total Contact Hours: 12.00

---------------

Pre-requisites

None.

Overview

The main goal of this course is to provide an interactive forum in which attendees will be introduced to critical aspects of clinical protein measurements.

The topics of this course will be templated on the framework of CLIS guidance document, C64: Quantitative Measurement of Proteins and Peptides by Mass Spectrometry.

The motivation for using mass spectrometry to quantify proteins in clinical research and in clinical care will be discussed as part of this interactive workshop. Technical topics uniquely affecting quantitative protein and peptides measurements by mass spectrometry will be a point of emphasis. Case studies from assay inception through validation will be presented and participants will work interactively to critique various aspects of clinical proteomic measurements.

Topics Covered

  1. Protein vs Peptide Measurands
  2. Workflows
  3. Sample Preparation (Digestion & Enrichment)
  4. Internal standards
  5. Calibration
  6. Validation
  7. Quality control

Objectives

At the conclusion of this short course, the participant will be able to:

  1. Describe the holistic process of delivering a clinically relevant mass spectrometry based protein/peptide assay from inception to validation.
  2. Recognize the factors in assay development that are unique to proteins and peptides in comparison to traditional small molecule assays.
  3. Use guidance documents in conjunction with rigorous experimental design to support fit-for-purpose method development strategies.
2495
Data Science 101 : Breaking Up with Excel
@ Montreal 5
2469
Data Science 203 : Machine Learning : A Gentle Introduction
@ Montreal 4

Stephen Master, MD, PhD, FADLM
Children's Hospital of Philadelphia

Randall Julian, PhD
Indigo BioAutomation


Course Schedule

Segment 1 : Sunday 14:30 - 18:30 (4 h)
Segment 2 : Monday 14:30 - 18:30 (4 h)
Segment 3 : Monday 08:30 - 12:30 (4 h)
Segment 4 : Tuesday 08:30 - 12:30 (4 h)

Total Contact Hours: 16.00

---------------

Pre-requisites

Data Science 101 or 201 (or equivalent experience)

Overview

Machine learning techniques have been highly successful in driving the growth of companies like Amazon, Google, Netflix, and other companies that rely on identifying patterns in big data. More importantly, these algorithms are beginning to revolutionize clinical diagnosis and mass spectrometry, from FDA-approved retinal image analysis to robust detection of mass spec chromatographic peaks.

But ... what exactly is machine learning? How does it work? How can you apply it to your own data?

In this course, we will help you sort through the hype and provide an introduction to machine learning, including an overview of common approaches, known pitfalls, and other important concepts.

We will include practical instruction on applying machine learning algorithms using the R statistical language, so familiarity with R at the level of the material taught in Data Science 101 and/or 201 is desirable.

Topics Covered

  1. What is machine learning?
  2. Basic practices
  3. Exploring your data
  4. Preparing your data for ML algorithms
  5. Features: Selection and Engineering
  6. Decision trees
  7. Model evaluation
  8. Solutions to overfitting: Ensembles
  9. Random Forests
  10. Explaining complex models
  11. Gradient Boosting with XGBoost

Objectives

At the conclusion of this short course, the participant will be able to:

  1. Explain principles of machine learning
  2. Describe machine learning processes
  3. Perform classification using multiple machine learning models
  4. Evaluate and test the performance of machine learning models
2475
Glyco(proteo)mics 101 : Clinical Glyco(proteo)mics by Mass Spectrometry
@ Westmount 2

Guinevere Lageveen-Kammeijer, PhD
University of Groningen

Tamás Pongrácz, PhD
Karolinska Institutet; Leiden University Medical Center


Course Schedule

Segment 1 : Monday 08:30 - 12:30 (4 h)
Segment 2 : Tuesday 08:30 - 12:30 (4 h)
Segment 3 : Monday 14:30 - 18:30 (4 h)

Total Contact Hours: 12.00

---------------

Pre-requisites

Knowledge on basic mass spectrometry and spectral interpretation.

Overview

Did you ever encounter glycans, but you -kind of- neglected them as they seemed too complicated to characterize? Or did you just perform a glycan release to make the analysis of your protein a lot easier? You have no idea how to interpret your data when a glycan is present? Fear no more! We are here to provide you with the basics in the field of mass spectrometric glycomics and glycoproteomics.

The course will start with a historical overview on glycan research (i.e. how did glycans work their way up to being acknowledged as important study objects) and we will guide you through the maze of different nomenclatures. Moreover, although glycans are well known for their complexity, we will reveal to you the “rules of glycan structures” based on known biosynthetic pathways. This will be followed by an in-depth discussion on glyco(proteo)mic mass spectrometric technologies and workflows. In addition, different sample preparation steps and data analysis approaches will be covered. We will close-up with a session about glycomic biomarker discovery.

The course will run over two days and time will be split between lectures and workshops (e.g. how do you recognize a glycan in a mass spectrum and how do you assign it). While not everything can be covered within these two days we will ensure that you will know your “glyco-basics” in the end. Moreover, participants are encouraged to submit any specific glyco-questions they have prior to the course and we will try to discuss them during the course.

Objectives:

At the conclusion of this short course, the participant will be able to:

  1. Understand the importance of glycosylation in human physiology through landmark discoveries
  2. Understand glycan nomenclature and biosynthesis to aid mass spectrometry data interpretation.
  3. Know what analytical method to choose for you specific glycomics experiment.
  4. Learn how to interpret MS1 and MS2 data of glycans and glycopeptides.
  5. Know what software to use to aid glyco(proteo)mics MS data processing.

FROM 2024

  1. Discuss glycan nomenclature and biosynthesis
  2. Select an appropriate analytical method for a specific glycomics research question.
  3. Interpret mass spectrometry data using the biological background of a sample and the biosynthetic restrictions of the system.
  4. Define the identity of released glycan and glycopeptide molecules using MS1 and MS2 data.
  5. Select the appropriate software tools to aid glyco(proteo)mics MS data processing knowing the used analytical platforms.
2483
Isotopes 101: Modern Isotope Ratio Analysis for Biomedical Research and Clinical Diagnostics
@ Westmount 4

Cajetan Neubauer
University of Colorado, Boulder

Dwight Matthews, Ph.D.
University of Vermont

Patrick Day, MPH, MLS (ASCP)
Mayo Clinic


Course Schedule

Segment 1 : Monday 14:30 - 18:30 (4 h)
Segment 2 : Tuesday 08:30 - 12:30 (4 h)

Total Contact Hours: 8.00

---------------

Pre-requisites

Overview

This course will introduce clinical mass spectrometrists to the fundamental concepts of stable isotope ratio analysis and their applications in biomedical research and the practice of medicine. The course will cover isotope tracer techniques and natural abundance variations, providing examples to illustrate these distinct approaches in isotope research. Additionally, the course will explore emerging trends in isotope ratio mass spectrometry, including high-precision isotope analysis of biomolecules using soft-ionization mass spectrometry and the clinical applications of natural abundance variations of metal isotopes.

Recent technological advances have made precision isotope analysis more accessible to clinical laboratories. These advances include applications that use MS instrumentation that is already widely utilized in clinical MS laboratories. By connecting clinical researchers with experts in isotope ratio mass spectrometry, this course seeks to foster innovation and collaboration in clinical isotope analytics.

Topics Covered

  1. Introduction to stable isotope analysis (instructor: CN, DM, PD)
  2. Isotope tracers in biomedical and clinical research (DM)
  3. Natural isotopic fractionation in human health and disease (CN)
  4. Practical applications and case studies (DM, CN, PD)
  5. Challenges to the translation of new isotope technologies into the clinical laboratory (PD)
  6. Current applications from isotope experts that relate to MSACL community (CN, PD)

Objectives

At the conclusion of this short course, the participant will be able to:

  1. Provide an overview of the current applications of isotopes in clinical diagnostics, including their role in isotope dilution as internal standards and in total metal analysis. (This objective sets the baseline understanding of stable isotopes in medicine.)
  2. Describe the fundamental principles of isotope tracer studies and explain their application in investigating human metabolic pathways in health and disease states.
  3. Explain the concept of natural isotopic fractionation and how these variations offer unique insights into nutritional status, metabolic processes, and potential disease markers.
  4. Evaluate the capabilities of new advances in isotope ratio mass spectrometry and discuss their potential applications in advancing biomedical research and developing novel diagnostic tools for clinical applications.
  5. Describe the technical, clinical, regulatory and financial challenges of translating new advances in isotope ratio mass spectrometry into the clinical production laboratory.
2485
LC-MSMS 101 : Getting Started with Quantitative LC-MSMS in the Diagnostic Laboratory
@ Montreal 1-2

Grace van der Gugten, B.Sc. Chemistry
Alberta Precision Laboratories

Deborah French, PhD, DABCC (CC, TC), FADLM
UCSF

Jacqueline Hubbard, PhD, DABCC
Beth Israel Deaconess Medical Center, Harvard Medical School

Grace Williams
VCU Health


Course Schedule

Segment 1 : Sunday 14:30 - 18:30 (4 h)
Segment 2 : Monday 08:30 - 12:30 (4 h)
Segment 3 : Monday 14:30 - 18:30 (4 h)
Segment 4 : Tuesday 08:30 - 12:30 (4 h)

Total Contact Hours: 16.00

---------------

Pre-requisites

Interested in a detailed, practical introduction to clinical quantitative LCMS

Overview

Is your laboratory under pressure to purchase an LC-tandem MS or is the ROI you wrote last year haunting you now? This short course is designed for attendees implementing quantitative LC-tandem MS for patient testing who have laboratory medicine experience but no mass spectrometry training - CLS bench analysts, supervisors, R&D scientists, and laboratory directors. Theoretical concepts necessary for a robust implementation of clinical mass spectrometry will be presented – but the emphasis is on practical recommendations for:

  1. LC-MS/MS system purchasing, site preparation and installation
  2. Choosing internal standards, solvents, and water, making reagents and calibrators
  3. Selecting and optimizing LC parameters
  4. Selecting and optimizing MS/MS parameters
  5. Selecting and optimizing sample preparation
  6. Adjusting sample preparation, LC and MSMS parameters to achieve the desired assay performance
  7. Establishing data analysis & review criteria
  8. Pre-validation stress testing and method validation
  9. Maintaining quality in production
  10. Preventative maintenance and troubleshooting

Objectives

At the conclusion of this short course, the participant will be able to:

  1. Describe the components of a triple quadrupole mass spectrometer and describe how they work.
  2. Evaluate sample preparation options for LC-MS/MS and explore matrix effect validation experiments.
  3. Explain the importance of developing an LC gradient method that is compatible with their analyte(s) of interest.
  4. Outline MS parameters that need optimization, including source and compound specific parameters.
  5. List quantitation and review criteria options for LC-MS/MS data.
  6. Formulate a validation plan and describe how to execute those experiments for an LC-MS/MS assay.
  7. Appraise equipment options and justify the purchase cost.
2471
LC-MSMS 203 : Validation of Quantitative LC-MS/MS Assays for Clinical and Academic Use
@ Montreal 3
2479
LC-MSMS 302 : Advanced LC-MSMS Method Development, Troubleshooting and Operation for Clinical Analysis
@ Montreal 6-8

Robert Voyksner, PhD
LCMS Limited


Course Schedule

Segment 1 : Sunday 14:30 - 18:30 (4 h)
Segment 2 : Monday 14:30 - 18:30 (4 h)
Segment 3 : Monday 08:30 - 12:30 (4 h)
Segment 4 : Tuesday 08:30 - 12:30 (4 h)

Total Contact Hours: 16.00

---------------

Pre-requisites

Working knowledge analytical chemistry, including experience with LC separations and/or mass spectrometry. Attending level 100 or 200 LC/MS courses at MSACL would be beneficial. This is a course for those who want to increase their understanding of LC-MS/MS, who want to learn how to develop a successful quantitative and qualitative LC-MS/MS assay and a deeper understanding the technique to achieve better sensitivity, specificity or throughput in their laboratory.

Overview

This course focuses on method development method trouble shooting and application for the analysis of both small and large molecules that are clinically relevant. All examples are taken from real world analyses, performed by Dr. Voyksner at LCMS Limited. The concepts presented in the course are reinforced through numerous problem sets the attendees will work on throughout the 16 hour course. These concepts will be valuable for the course attendees in developing and troubleshooting their own methods and enable a better understanding on how to improve their LC/MS/MS method. The last part of the course is an open forum where each attendee is invited to share a current LC-MS/MS issue they face. As a class we work through potential solutions and experiments to be performed to find a solution to the student problem, applying the concepts taught in the class and Dr. Voyksner’s 40 plus years of experience in LC-MS/MS. From past classes this has been the attendee’s favorite part of the class.

  • This course is designed for the scientist that uses LC-MS/MS in the clinical lab, who wants a deeper understanding in steps towards developing successful methods, optimizing methods, trouble shoot methods and solving problems employing LC-MS/MS.
  • The course covers important aspects in understanding and optimization ionization with electrospray on multiple instrument platforms including triple quadrupole, time-of-flight, quadrupole time of flight and orbit trap mass analyzers.
  • The course will discuss sample preparation, modes of chromatography and MS/MS considerations with respect to method development and optimization for the analysis of “real-world” samples by LC-MS/MS, to achieve the best sensitivity, specificity, and sample throughput.
  • The course will cover all aspects of quantitative LC/MS/MS assays development and troubleshooting for small clinical molecules, peptides and proteins.
  • The course will introduce concepts needed for the interpretation of MS/MS mass spectra.
Topics Covered

  1. Understanding API ionization processes for electrospray, APCI and APPI, what affects the ionization process and how to maximize the ionization for compounds of interest.
  2. Understanding the effects of LC columns (dimensions and particles size), flow rate, and mobile phases have upon the separation and LC/MS analysis.
  3. Determining the type of ions that can form by electrospray and APCI, how to interpret the MS and MS/MS spectra and approaches on how to perform qualitative analysis in LC-MS/MS and high-resolution MS/MS.
  4. Understanding important issues that affect quantitative analytical results and how to optimize the method to achieve the best performance, reduce matrix suppression, reduce background and generate the best accuracy and precision.
  5. Exploring what new techniques are available (e.g. direct analysis MS, chip method and MS instrumentation) that can improve the results one can obtain.
  6. Discuss aspects of method development and method trouble shooting from example problems of real world problem in quantitative LC-MS/MS.
  7. Open forum discussing attendees’ specific problems they face in method development or analysis using LC-MS/MS.

Objectives

At the conclusion of this short course, the participant will be able to:

  1. Improve sensitivity and specificity for LC-MSMS analysis.
  2. Develop methods to analyze the target compounds.
  3. Select correct electrospray or APCI conditions to analyze the target compound.
  4. Reduce matrix suppression.
  5. Troubleshoot a method to improve accuracy, precision, sensitivity and specificity.
  6. Reduce background in LC-MSMS analysis.
2489
Lipidomics 101 : Mass Spectrometry-based Lipidomics and Clinical Applications
@ Westmount 3

Anne K. Bendt, PhD
Singapore Lipidomics Incubator (SLING), National University of Singapore

Amaury Cazenave Gassiot, PhD
Singapore Lipidomics Incubator (SLING) and Department of Biochemistry, National University of Singapore

Michael Chen, MD MSc
The University of British Columbia


Course Schedule

Segment 1 : Monday 14:30 - 18:30 (4 h)

Total Contact Hours: 4.00

---------------

Pre-requisites

LC-MS/MS, clinical translation, lipidomic applications, method harmonization AND an interest in lab medicine and clinical lipidology.

Overview

This one-day course is meant to (1) create awareness for the importance and therefore potential value of lipid testing beyond cholesterol and triglycerides for future clinical applications. We will (2) then outline currently available technologies and their respective opportunities and challenges, and (3) discuss candidate molecules in the context of current case studies.

Topics Covered

  1. Looking beyond cholesterol and TAG:
    - Potential of blood-based lipid testing
    - Gain an understanding of the universe of lipids, how they are intricately linked to biology and their implications in health and diseases (e.g., inherited genetic disorders, cardiovascular disease, clinical nutrition, etc.)
    - Identify physiologically relevant candidate lipids for adoption by the clinical community, for future studies towards establishing clinical utility
  2. Current lipidomics R&D workflows:
    - Path of translation from R&D laboratory-style methods towards robust and quantitative assays with appropriate turnaround times
    - Pre-analytics (sampling requirements, plasma vs serum, storage, etc.)
    - Analytics (i.e., batches, internal standards, lipid extractions, direct infusion vs LC-MS and LC-MS/MS, quality assurance)
    - Post-analytics (raw data processing, lipid annotations, quality control, quantification)
    - Ongoing harmonization efforts
  3. Case studies of markers that have advanced to clinical settings
  4. Outreach and Engagement between the analytical scientist specialized in mass spectrometry of lipids, the clinician researcher and laboratory medicine as the end user are key to the development of impactful/ useful lipidomics in clinical applications

Objectives

At the conclusion of this short course, the participant will be able to:

  1. Discuss the lipid universe beyond cholesterol and triglycerides,
  2. Explain what lipid molecular species are.
  3. Describe the process of biomarker validation and implementation in clinical labs and how the analysis of lipid metabolites will contribute to precision diagnostics.
  4. Describe how to measure lipid metabolites using multiple-reaction-monitoring mass spectrometry.
  5. Evaluate the performance and quality of lipid metabolite-based tests.
  6. Review molecular MS data and provide answers for laboratory specialists.
2480