Computational Pathology encompasses linked morphological and molecular tissue characterization. Cancer is a complex multi-faceted disease characterized by heterogeneous coupled tumor and stroma niches and by complex patterns tumor/host immune modulation and response. Accurate multi-scale tissue characterization is crucial to understanding of tumor heterogeneity and immune response. Gaining an understanding of multi-scale systems biology of cancer will play a central role in development, selection and personalization of targeted and immune therapies. Experimental data driving these efforts range from universally acquired Pathology studies scanned in using now inexpensive whole slide imaging platforms to data obtained using high end platforms capable of acquiring combined morphological and highly multiplexed molecular data. 

Tissue analysis and modeling is both computation and data intensive – many crucial tasks have resource requirements that extend into and beyond the exascale range. The workshop will bring together researchers to shed light on relationship between cancer signaling pathway alternations, tumor niches, tumor immune suppression and host immune response. The focus of the workshop will be on developing a research agenda to drive computational pathology experimental design, cancer population studies and computational modeling. 

Primary Goals for the Meeting:

• Bring together experts from industry, government, and academia working across the combined frontiers of pathology, radiology (multi-scale imaging), predictive oncology and computing
• Provide insight into existing challenges and efforts to address challenges where multi-scale imaging, predictive oncology and computing share common opportunities
• Provide opportunities to share in discussion of new opportunities arising from new ideas for collaborations, cross-disciplinary education, and shared efforts to accelerate cancer research and clinical application of research advances
• Bring focus to the role of “computational pathology” across multiple time and length scales and areas of application ranging from digital pathology to opportunities in drug discovery and integrated multi-scale modeling
• Share future visions from multiple perspectives to develop a common appreciation for the integrated role domain knowledge, technology, and information will play in the future for computationally predictive oncology

Meeting History:

The Frontiers of Predictive Oncology and Computing meeting is an annual event tying its origins to the original Biological Applications of Advanced Strategic Computing meetings initiated by Livermore National Laboratory. Bringing a specific focus to the challenges and opportunities for cancer, the first Frontiers of Predictive Oncology and Computing meeting was held July 2016 in Washington DC. At this meeting over 100 thought leaders from industry, government and academia converged to share insights, knowledge and vision for the future of computationally predictive oncology. 

This Year's Meeting:

The second Frontiers of Predictive Oncology and Computing meeting brings focus to the topic of “computational pathology”, discussing the broader application of technology, computation and domain expertise to understand and describe the specifics of cancer as a disease. With origins in digital pathology, extended in recent years to include molecular level signatures through sequencing and other forms of enhanced observation, the concept of “computational pathology” embraces the dynamic range of options from virtual microscopy to molecular to probe cancer and capture observations of disease behaviors across space and time scales. The Frontiers of Predictive Oncology and Computing meeting brings context to these methods of observation, providing insight into the key role the collected information plays in the development of computationally predictive oncology models and methods. 

Specific Topical areas to be discussed include:

• Longitudinal Multi-modal data in predictive oncology - Pre-diagnosis, detection, and post-diagnosis monitoring
• Multiscale data in predictive oncology – From molecular, cellular, and tumor, to organ, tissue, body, and population
• Clinical and commercial applications - Predictive oncology applied (metastasis, treatment decisions, treatment development, etc.)
• Computational frontiers - HPC, sensors, edge computing

 

FPOC II is an invitation-only event.
Registration Fees: $250

A downloadable version of the agenda may be found as follows:

 

___________________________________________________________________________________________

PRELIMINARY AGENDA

Frontiers of Predictive Oncology and Computing

Biological Applications of Advanced Strategic Computing (BAASiC) Meeting

October 17-19, 2017

SUNY Global Center

116 E 55^th St, New York, NY 10022

www.suny.edu/about/nyc

 

Day One – Tuesday, October 17, 2017

8:00 AM          Arrival and check-in at the SUNY Global Reception Center to receive Badge

Registration; continental breakfast                                           Global Classroom

8:30 AM          Welcome & Introductory Remarks                                            Global Classroom

8:45 AM          Meeting Overview – Opportunities and Challenges for Predictive Oncology Through Integration Across Spatial Scale and Time

9:00 AM          Keynote – Improving the Lives of Cancer Patients

9:45 AM          Break – networking

10:00 AM        Plenary Session: Integrated Pathology: Combining Time, Space and “Omics”

11:00 AM        Panel Session : Future State for Collaborative Predictive Oncology

12:00 PM        Lunch                                                                                            Global Classroom

1:30 PM          Plenary Session: Unlocking Pathology – Frontier Technologies to Probe Biology

3:00 PM          Break – networking

3:30 PM          Panel Session: Longitudinal and Multiscale Data – Challenges and Opportunities

5:00 PM          Adjourn - Social Networking Opportunity

Evening on own – dinner on own

 

 

 

 

 

 

Day Two – Wednesday, October 18, 2017

8:00 AM          Arrival and check-in at the SUNY Global Reception Center to receive Badge

Registration; continental breakfast                                           Global Classroom

9:15 AM          Welcome & Recap                                                                       Global Classroom

9:30 AM          Plenary Session: Frontier Collaborations in Predictive Oncology and Computing – JDACS4C

                       Molecular Scale Predictive Oncology

Pre-clinical Scale Predictive Oncology

10:30 AM        Break – networking

Population Scale Predictive Oncology

Cross-cutting Technologies: CANDLE and Uncertainty Quantification

11:45 AM        Lunch – Featured Presenter

1:15 PM          Panel Session : Future for Computing in Predictive Oncology

2:30 PM          Breakout Sessions

 

4:30 PM          Reconvene in Global Classroom – Social Networking Session

5:00 PM          Adjourn

7:00 PM          Meeting Dinner, Angus Club Steakhouse, 135 E 55 Street, Manhattan, NY 10022

 

 

 

 

Day Three – Thursday, October 19, 2017

8:00 AM          Arrival and check-in at the SUNY Global Reception Center to receive Badge

Registration; continental breakfast                                           Global Classroom

9:00 AM          Welcome & Introductory Remarks                                           Global Classroom

9:15 AM          Keynote – Update Report on Cancer Moonshot – 1 Year Later

10:15 AM        Break – networking

10:30 AM        Breakout Session Report Out

Algorithms and Technologies – Insight into Biological Complexity

Applications and Data – Access and Mobility

Making an Impact – Sustainability, Validation and Translation

11:30 AM        Next Steps and Meeting Wrap-up

12:00 PM        Meeting Adjournment

The SUNY Global Center, is housed in a distinguished landmark building in midtown Manhattan and has a number of uniquely designed spaces that can host a variety of events,  including educational & non-profit functions as well as corporate and private events. Our facility features contemporary furnishings, state of the art audio/visual equipment, and an on-site event management team to ensure the success of every event. The Global Center is also home to SUNY System’s New York City headquarters.

Location

SUNY Global Center
116 East 55th Street
New York, NY 10022
Phone: 212-317-3500
Fax: 212-521-5200

We are located between Park Avenue and Lexington Avenue on the south side of the street. The entrance to the building is on 55th Street.

Useful Information:

• MTA Subway Map
• How to get here by subway

Directions Via Public Transportation

By Bus

• From Uptown:BxM1, M101, M102, M103, X2 exit at Lexington Av/ E 56th St
• From Downtown: QM1, QM2, QM4, QM5, QM6 exit at 3Av/E 56th St
  M101, M102, M103, QM10, GM12, Qm24, X63, X64, X64 exit at3 AV/E 55th St

By Subway

• 51 St Subway Station: 6 Train
• Lexington Av/ 53 St: E, M Train
• 59 St Station: 4, 5, 6 Train
• Lexington Av/ 59 St: N, Q, R Train

By Train

• Take Long Island Railroad to Pennsylvania Station, then transfer to a Queens-bound E train
• Take Metro North Railroad to Grand Central Station in Manhattan, then transfer to a Bronx-bound 4, 5, and 6 train
• Take New Jersey Transit to Pennsylvania Station in Manhattan, then transfer to a Queens-bound M train
• Take Amtrak to Pennsylvania Station in Manhattan, then transfer to a Queens-bound E train

Parking near SUNY Global

The Global Center does not have its own parking facility. Please note that that the surrounding street of the SUNY Global Center is for commercial vehicles ONLY and is monitored by traffic attendants frequently.

Please visit nyc.bestparking.com to find the most reasonable rates for your particular needs, where you can click to neighborhoods or cross streets, can plug in arrival and departure times where the site will calculate rates and show icons with dollar amounts on a map. Click the icons to show specifics.

There are numerous parking garages in the area. Rates fluctuate, but you can expect to pay about $40 per day.

Champion Parking on East 55th
131 East 55th Street
New York, NY 10022
212-207-8951

Champion Parking
425 Park Avenue
New York, NY 10022
212-308-5959

Central Parking Systems
375 Park Avenue
New York, NY 10152
212-644-7429

Professional Parking
140 East 56th Street
New York, NY 10022
212.754.4231

Room blocks are available in limited quantity through the following two hotels:

 

Omni Berkshire Place - 21 East 52nd Street, New York, NY 10022 - 212.753.5800

Marriott - Courtyard New York Manhattan/Midtown East - 866 3rd Avenue, New York, NY 10022 - 212.644.1300

***Please note hotel registration deadline of Friday, September 15, 2017***

The government per diem rate is $301/night.

In order to register for the event, please complete the following biosketch template and send to Miles Kimbrough (miles.kimbrough@nih.gov) by Friday, September 29th.  

Cost: $250

*Registration will be opening soon.

Intel is committed to compliance with all applicable laws, regulations, policies and ethics rules. This notice is intended to ensure that your participation in the Frontiers of Predictive Oncology Meeting will not violate any such laws, regulations, policies or rules.  The $250 registration fee is partially to allow Intel to provide meals during the course of the event.  Intel seeks no promises or favoritism for itself or any of its affiliates in exchange for the opportunity to participate in the Frontiers of Predictive Oncology Meeting  or in exchange for the hospitality provided.”

** all prices include applicable tax and service fees

For any event related inquiries, please contact Miles Kimbrough via miles.kimbrough@nih.gov or 240.276.5251