Cambridge Healthtech Institute的培訓課程不僅涵蓋廣泛的學術理論和背景,還結合真實案例研究、問題分析和解決方案分享。每場培訓研討會均結合正式講座、互動討論及實踐活動,以最大化學習體驗。經驗豐富的講師將重點講授可直接應用於當前研究的內容,並為該領域的新手提供重要指導。
培訓研討會僅限線下參加
為保證一致性和專注的學習環境,參加者不得在會議議程和培訓課程之間隨意切換。
Monday, May 12, 2025 8:30 am - 6:05 pm | Tuesday, May 13, 2025 8:30 am - 12:45 pm
TS3A: Introduction to Multispecific Antibodies: History, Engineering, and Application
Topics to be Covered:
- A brief history of bispecific antibodies: 60 years of progress with critical advances and key pioneers
- Bispecific applications and powerful mechanisms-of-action
- Engineering bispecific antibodies:100 formats and counting
- Bispecific-specific considerations in preclinical development and regulatory landscape
- Developability, manufacturing, and analytical considerations
- Clinical experience, translation, and regulatory approval
- Current trends and future opportunities in regulating immune checkpoints, cell-based therapies, and personalized approaches
INSTRUCTOR BIOGRAPHIES:
G. Jonah Rainey, PhD, Associate Vice President, Eli Lilly and Company
TS7A: Introduction to Immunogenicity
TOPICS TO BE COVERED INCLUDE:
Part 1: Introduction to Immunology and Immunogenicity
- What is immunogenicity?
- Immunology and major mechanisms affecting immunogenicity
- B cell development
- Clinical consequences of ADA
- Risk-based approach
- Immunogenicity in the clinic Regulations and guidance governing immunogenicity
Part 2: Predictive Immunogenicity and Role of AI/ ML
Part 3: Clinical Considerations of Immunogenicity and Regulatory Expectations
Part 4: Assay Methodology and Approaches for Describing Immunogenicity in the Clinic
- Assay methodologies
- Comparison of different methods
- Screening, confirmation
- Characterization of anti-drug-antibodies
- Cut-points Immunogenicity of complex biologics (e.g. multi-domain, biosimilars)
- PK/PD and safety and efficacy-- as a measure
- Immunogenicity in the clinic - how to report
INSTRUCTOR BIOGRAPHIES:
Chloé Ackaert, PhD, Senior Scientist, Immunogenicity, ImmunXperts, a Q2 Solutions Company
Sofie Pattijn, Founder & CTO, ImmunXperts, a Q2 Solutions Company
Bonnie Rup, PhD, Biotechnology Consultant, Bonnie Rup Consulting
TS9A: Introduction to Protein Engineering
- What is protein engineering?
- Tools and techniques
- Engineering-by-design
- Designed libraries, display technologies
- Production and manufacturing
- Improving manufacturing by protein engineering methods
- Other protein modifications
- Expression of antibodies and fragments for discovery and testing
- Emerging molecule and product formats
- Antibody-drug conjugates (ADCs)
- AI/ML applications and limitations
- Other emerging approaches
INSTRUCTOR BIOGRAPHIES:
David Bramhill, PhD, Founder, Bramhill Biological Consulting LLC
TS10A: Antibody Drug Discovery: From Target to Lead
Topics to be covered include:
Different Sources of Antibodies
- Animals: mouse, rat, rabbit, chicken, llama, etc.
- Libraries: immune, synthetic, native, fully human, etc.
- B cells: memory B cells, plasma B cells, human, and animals
Antibody-Based Drug Modalities
- IgGs, IgA, IgM, Bites, nanobody, antibody fragments, etc.
- Naked antibody
- ADC
- Bispecific/multispecific
- CAR T
Antibody Engineering
- Affinity maturation
- Humanization
- Fc-engineering: half-life, immune effector function, etc.
Target Selection and Validation
Antibodies Targeting Complex Membrane Proteins
- GPCRs
- Ion channels
- Transporters and membrane-bound enzymes
Delivery of Antibodies
Crossing the Brain-Blood Barrier (BBB)
Case Studies
AI-based Protein and Antibody Design
INSTRUCTOR BIOGRAPHIES:
Zhiqiang An, PhD, Professor, Robert A. Welch Distinguished University Chair in Chemistry; Director, Texas Therapeutics Institute; Director, CPRIT Core for Antibody Drug Discovery; Vice President, Drug Discovery, University of Texas Health Science Center at Houston
Tuesday, May 13, 2025 2:20 - 6:10 pm | Wednesday, May 14, 2025 10:20 am - 6:40 pm
TS9B: Introduction to Machine Learning for Biologics Design
- Basics of machine learning and where does it fit into drug discovery
- Modern homology modeling and structure prediction
- Predicting antibody affinity and specificity modulation
- Generative design in biologics: Library design and language models
- Machine learning applications of T cell and B cell immunogenicity
- Methods and application of ML for chemical, folding, solution stabilities
INSTRUCTOR BIOGRAPHIES:
Christopher R. Corbeil, PhD, Research Officer, Human Health Therapeutics, National Research Council Canada
Francis Gaudreault, PhD, Associate Research Officer, Human Health Therapeutics, National Research Council Canada
TS10B: Introduction to Antibody-Drug Conjugate Design: Targets, Payloads, and Linkers
Topic areas to be covered include:
- An overview of the history of ADCs, emphasizing key developments and discoveries that shape the current therapeutic landscape
- Principles and lessons in target selection
- Antibody engineering: considerations and current trends
- Conjugation and linker chemistry, past and present payload design and selection
- Designing effective lead identification and screening strategies
- Next-generation ADC technology:
- What does the future hold?
- ADCs beyond oncology
Who should attend?
- Seasoned scientists who are moving into the ADC field
- Early career scientists in the ADC field who want a solid grasp of the “big picture” of ADC
- Executives and project managers who want a solid grasp of the challenges and opportunities of ADC technology
INSTRUCTOR BIOGRAPHIES:
Robert J. Lutz, PhD, CSO, Iksuda Therapeutics
Nathan L. Tumey, PhD, Associate Professor, Pharmaceutical Sciences, SUNY Binghamton
TS11B: Introduction to Analytical Characterization and Method Validation for Biological Products
Topics to be covered:
- The evolving modality of therapeutic biological products
- QbD and DoE: Analytical development (ICH Q14), qualification and validation (ICH Q2(R2))
- Biologics instability: developability, forced degradation, and formulation development
- Product strength methods: protein concentration, DNA concentration and viable cell density
- Product purity/impurities methods: CE-SDS (NR/R), icIEF and HPLC
- Product potency methods: bioassays, binding ELISA and CBA
- Product identity methods: peptide mapping, sequencing, icIEF, binding ELISA, FCM
- Product safety: methods of process impurities (residual HCP by ELISA and MS) and contaminants
- Characterization of aggregates and SVP analysis
- Extended characterization: LC-MS, MAM, PTM, charge variant analysis, and HOS analysis
- CMC analytical comparability
The curriculum provides a broad overview of biologics analytical and characterization strategies. It is beneficial to individuals involved in biologics drug discovery, developability assessment, analytical development, formulation development, process development, DS/DP manufacturing, quality control, quality assurance, clinical supply, regulatory affairs, project management, or related functional areas.
INSTRUCTOR BIOGRAPHIES:
Kevin Zen, PhD, Senior Director, IGM Biosciences
Thursday, May 15, 2025 8:30 am - 5:30 pm | Friday, May 16, 2025 8:30 am - 12:30 pm
TS7C: Bioassay Development and Analysis
Key Topics:
- Introduction to Bioassays
- Guidance Documents on Bioassays
- Design & Development
- RobustnessValidation & Post Validation
- Statistical Analysis Models
- Examples / Case Studies
INSTRUCTOR BIOGRAPHIES:
Steven Walfish, Owner, Statistical Outsourcing Services
* 活動內容有可能不事先告知作更動及調整。
2025年 方案
顯示:

工程組
- Display of Biologics
生物製劑展示 - Engineering Antibodies
抗體工程 - Machine Learning for Protein Engineering
用於蛋白質工程的機器學習

腫瘤組
- Antibodies for Cancer Therapy
用於癌症治療的抗體 - Emerging Targets for Oncology & Beyond
腫瘤學以外的新興目標 - Driving Clinical Success in Antibody-Drug Conjugates
推動抗體藥物偶聯物 (ADC) 在臨床上的成功

多特異性組
- TS: Intro to Multispecific Antibodies
培訓研討會:多特異性抗體簡介 - Advancing Multispecific Antibodies
多特異性抗體研究進展 - Engineering Bispecific and Multifunctional Antibodies
雙特異性抗體與多功能抗體工程

免疫療法組
- Advances in Immunotherapy
免疫療法的進步 - Engineering Cell Therapies
細胞治療工程 - Next-Generation Immunotherapies
下一代免疫療法

表達組
- Difficult-to-Express Proteins
難以表達的蛋白質 - Optimizing Protein Expression
優化蛋白質表達 - Maximizing Protein Production Workflows
最大化蛋白質生產工作流程

分析法組
- ML and Digital Integration in Biotherapeutic Analytics
生物製藥分析中的機器學習和數位整合 - Biophysical Methods
生物物理性手法 - Characterization for Novel Biotherapeutics
新型生物治療藥物的表徵

免疫原性組
- TS: Intro to Immunogenicity
培訓研討會:免疫原性簡介 - Predicting Immunogenicity with AI/ML Tools
使用 AI/ML 工具預測免疫原性 - TS: Bioassay Development and Analysis
培訓研討會:生物測定開發與分析

新興治療學組
- Biologics for Immunology Indications
新興治療學組 - Radiopharmaceutical Therapies
放射性藥物治療 - Next-Generation Immunotherapies
下一代免疫療法

機器學習組
- ML and Digital Integration in Biotherapeutic Analytics
生物製藥分析中的機器學習和數位整合 - Predicting Immunogenicity with AI/ML Tools
使用 AI/ML 工具預測免疫原性 - Machine Learning for Protein Engineering
用於蛋白質工程的機器學習