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1
Introduction
2
Are we in a better place
3
Are we on unstable footing
4
Melanoma mortality rates
5
National Cancer Institute budget
6
Cancer science discovery innovation
7
We are forced to keep running
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What drives patients
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Are we prioritizing patients
10
Are we working together enough
11
Possible ways of intervening
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What does good look like
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How are we collaborating
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Data sharing
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Data is messy
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Sharing data
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Consortium fatigue
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Barriers to sharing
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Patients dont think were going too quickly
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Regulatory environment
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Thinking outside the box
22
Integration
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Drug Development
24
Machine Learning
25
Preclinical Data
26
New Technologies New Disciplines
27
Predictive oncology
28
Tony Rivas
29
Dr Michael Smith
30
National Cancer Institute
Description:
Explore a panel discussion on the current state of cancer care, examining achievements, pressing barriers, and groundbreaking discoveries applicable to other diseases. Delve into topics such as the blurring line between clinical practice and research, investments in data, networked centers of excellence, and research community efforts. Learn from experts as they discuss melanoma mortality rates, the National Cancer Institute budget, cancer science innovation, patient priorities, collaboration challenges, data sharing issues, regulatory environments, drug development, machine learning applications, and predictive oncology. Gain insights from industry leaders, researchers, and advocates as they address the evolving landscape of bioscience, using cancer as a case study to illustrate cutting-edge advancements and future directions in healthcare.

A Journey to the Cutting Edge of Bioscience - Cancer as a Case Study

Milken Institute
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