地點及飯店


Conference Venue and Hotel:
Omni Boston Hotel at the Seaport
450 Summer Street
Boston, MA 02210

Discounted Room Rate: $365 Artist Tower s/d - $395 Patron Tower s/d ** Includes Complimentary WiFi

Discounted Room Rate Cut-Off Date: Friday, April 11, 2025

Please click here to make your hotel reservations as a PEGS Boston Conference attendee to receive the discounted room rate. Reservations made after the cut-off date or after the group room block has been filled (whichever comes first) will be accepted on a space- and rate-availability basis. Rooms are limited, so please book early.

 

Omni Seaport Lobby

Omni Hotel Boston Seaport

Omni Rooftop Pool


Top Reasons to Stay at the Omni Boston Hotel at the Seaport

  • No Commute, since meeting takes place at hotel!
  • In the heart of the bustling Seaport District, conveniently located near South Station and Boston Harbor.
  • Fewer than three miles from Logan International Airport (BOS).
  • The hotel features six distinct dining experiences, Kestra, The Sporting Club, Crescendo, Lifted, Coquette, Cocorico and Legato.
  • Enjoy the scenic rooftop pool (open year-round), a state-of-the-art fitness center, and a luxe day spa.

We understand that you have many choices when making your travel arrangements. Please understand that reserving your room in the CHI room block at the conference hotel allows you to take full advantage of the conference sessions, events and networking opportunities, and ensures that our staff will be available to help should you have any issues with your accommodations.


HOTEL SCAM ALERT:
It has come to our attention that some of our conference participants are being targeted in a hotel scam. We do not utilize any third party hotel booking services. If you are contacted by any company other than Cambridge Innovation Institute (CII) or any of CII’s divisions (including Cambridge Healthtech Institute and Cambridge EnerTech) please do not do business with them. These companies may ask for advance payment, and should you contract with them, you may be unable to confirm, make changes or receive a refund, and reservations are often canceled without advance notice.


Join Us in Boston!  

Seaport is a 21st century neighborhood designed for the way people live today. It’s fast becoming the most sought-after spot for both Fortune 500s and start-ups to set up shop, one of the top residential areas in the city, and a go-to destination for global travelers.

Nestled between Boston’s scenic waterfront and the historic Fort Point District – and you’ll feel the energy shift. There’s a little more excitement, a little extra style and a sense that something interesting is just around the corner, including over 100 restaurants to choose from!

For information including, parking, public transportation, restaurants, shopping and all things Seaport, visit bostonseaport.xyz.

BPD-boston

 




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顯示:

Engineering
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
Oncology
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
Bispecific Antibodies
多特異性組
Immunotherpary
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
Expression
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
Analytical
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
Immunogenicity
免疫原性組
Emerging Modalities
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
Machine Learning Stream
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

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