2018英特爾ISEF獲獎作品摘要 機(jī)器人與智能機(jī)器（人工智能） Intel Finalist Abstract Robotics and Intelligent Machines (AI)

獲獎作品基本信息

年份	2018
學(xué)科	機(jī)器人與智能機(jī)器 Robotics and Intelligent Machines
國家/州	United States of America

獲獎作品名稱

Deep, Multimodal Representation Learning for Pan-Cancer Prognosis Prediction Robotics and Intelligent Machines

獲獎作品摘要

Estimating the future course of cancer is invaluable to physicians; however, current clinical methods fail to effectively use the vast amount of multimodal data available.

To tackle this problem, I constructed a deep neural network model to predict the survival of patients for 33 different cancer types, using gene expressions, miRNA data, clinical data and histopathology images. I developed an unsupervised encoder to compress these four data modalities into a single feature vector for each patient, handling missing data through a resilient, multimodal dropout method. Encoding methods were tailored to each data type - using Dilated DCNNS (Deep Convolutional Neural Networks) to summarize gigapixel-resolution pathology images and using vanilla feedforward networks to extract deep features from genetic and clinical data. I then used these feature encodings to predict survival data, achieving an impressive 0.754 C-index.

This research was the first attempt to build a pan-cancer prognosis model - all previous research focused on cancer-specific datasets. Furthermore, my model handles multiple data modalities, efficiently analyzes huge whole-slide images, and summarizes patient details flexibly into an unsupervised, informative profile. I present a powerful automated tool to accurately determine prognosis, a key step towards personalized treatment for cancer patients.

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高中生科研 英特爾 Intel ISEF
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高中生科研學(xué)術(shù)活動 英特爾 Intel ISEF 簡介

英特爾國際科學(xué)與工程大獎賽，簡稱 "ISEF"，由美國 Society for Science and the Public（科學(xué)和公共服務(wù)協(xié)會）主辦，英特爾公司冠名贊助，是全球規(guī)模最大、等級最高的中學(xué)生的科研科創(chuàng)賽事。ISEF 的學(xué)術(shù)活動學(xué)科包括了所有數(shù)學(xué)、自然科學(xué)、工程的全部領(lǐng)域和部分社會科學(xué)。ISEF 素有全球青少年科學(xué)學(xué)術(shù)活動的“世界杯”之美譽(yù)，旨在鼓勵學(xué)生團(tuán)隊協(xié)作，開拓創(chuàng)新，長期專一深入地研究自己感興趣的課題。

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英特爾 ISEF 學(xué)術(shù)活動詳細(xì)介紹

英特爾 ISEF 全程指導(dǎo)方案

· 數(shù)學(xué) · 物理 · 化學(xué) · 生物 · 計算機(jī) · 工程 ·

學(xué)科簡介：機(jī)器人與智能機(jī)器 Robotics and Intelligent Machines

Studies in which the use of machine intelligence is paramount to reducing the reliance on human intervention.

Subcategories:

Biomechanics?(BIE):?Studies and apparatus which mimic the role of mechanics in biological systems.

Cognitive Systems?(COG):?Studies/apparatus that operate similarly to the ways humans think and process information. Systems that provide for increased interaction of people and machines to more naturally extend and magnify human expertise, activity, and cognition.

Control Theory?(CON):?Studies that explore the behavior of dynamical systems with inputs, and how their behavior is modified by feedback. ?This includes new theoretical results and the applications of new and established control methods, system modelling, identification and simulation, the analysis and design of control systems (including computer-aided design), and practical implementation.

Machine Learning?(MAC):?Construction and/or study of algorithms that can learn from data.

Robot Kinematics?(KIN):?The study of movement in robotic systems.

Other?(OTH):?Studies that cannot be assigned to one of the above subcategories.?If the project involves multiple subcategories, the principal subcategory should be chosen instead of Other.