中国科学院 苏州生物医学工程技术研究所人事教育处 《人才快讯》2012年第八期 期目标是尽快实施两系课程共享(学分互认),联合部署研究生招生宣传工作(暑期夏令营), 联合举办学术会议、暑期培训等活动;中期目标是摸索建立协同创新研究模式,集中双方教 育、研究等优势资源,培养生物医学创新领军人才,从根本上解决制约产业发展的问题;长 期目标是经过双方若千年共同努力,在推动两系生物医学工程专业大力发展的同时,积极探 索和推广适合我国国情的生物医学工程新的发展模式 此次研讨会不仅增进了两系老师的相互了解,而且深入分析制约与生命健康息息相关的 生物医学工程发展的因素,并就人才培养、研究机制、产业发展等诸多方面,提出了建设性 的方案。相信在两系教授共同的努力下,我国生物医学工程专业一定会取得长足的进步,协 同创新研究模式将对该领域的健康发展起到引领作用。 清华大学学术报告:基于声信息技术的生物超声测量、成像与操 控研究 时间:11月21日下午3:00 地点:医学科学楼B321 报告人:郑海荣〔研究员,中囯科学院深圳先进技术研究院) 报告摘要: 医学超声技术在生物医学及临床上有着重要的价值,近年来声信息技术的发展有力的推动了 超声应用创新。超声由于其独特的杋械能量效应,近年来展示岀在超声定量功能成像、给药 和治疗方面一系列前沿进展,使得多功能超声“成像-给药-治疗”一体化技术革新变成可能 本报告将讲述研究小组关于超声技术在定量功能成像(靶向微泡分子影像、生物力学成像)、 辐射力定点操控、给药及治疗方面的一些最新研究成果及进展。超声分子成像是超声影像学 从非特异性物理显像向特异性靶分子成像的探索拓展,是超声影像诊断技术的重要发展方向。 主要涉及包括超声微泡非线性声学理论基础及超声激励下声及动力学特性,微米或亚微米级 气泡的非线性声学特性;靶向超声造影剂探针的制备方法与工芑;敏锐探测靶向声学探针的 低频激励高频接收等非线性超声成像方法;髙频/超高频超声探头、成像系统及平台;靶向 分子成像在典型重要疾病早期诊断方面的应用现状和前景。报告中还将阐述基于高帧速超声 和辐射力技术的多维度生物组织弹性成像等超声生物力学成像最新进展。超声由于其独特的 机械能量效应以及杋械波场特征,设计声场产生的定向辐射力可以定点空间移动微小颗粒和 药物,可发展为一种高效无创的定点给药治疔技术,在肿瘤等疾病的治疗等领域有着重要前 清华大学学术报告: Smart Sensing Technologies for Chronic Disease management 时间:12月11日下午3:00 地点:医学科学楼B323 报告人: Yong ji Fu,Ph.D. 报告摘要: Smart physiological sensing have become a powerful tool to extend heal thcare
中国科学院 苏州生物医学工程技术研究所人事教育处 《人才快讯》2012 年第八期 期目标是尽快实施两系课程共享（学分互认），联合部署研究生招生宣传工作（暑期夏令营）， 联合举办学术会议、暑期培训等活动；中期目标是摸索建立协同创新研究模式，集中双方教 育、研究等优势资源，培养生物医学创新领军人才，从根本上解决制约产业发展的问题；长 期目标是经过双方若干年共同努力，在推动两系生物医学工程专业大力发展的同时，积极探 索和推广适合我国国情的生物医学工程新的发展模式。 此次研讨会不仅增进了两系老师的相互了解，而且深入分析制约与生命健康息息相关的 生物医学工程发展的因素，并就人才培养、研究机制、产业发展等诸多方面，提出了建设性 的方案。相信在两系教授共同的努力下，我国生物医学工程专业一定会取得长足的进步，协 同创新研究模式将对该领域的健康发展起到引领作用。 清华大学学术报告:基于声信息技术的生物超声测量、成像与操 控研究 时间：11 月 21 日下午 3:00 地点：医学科学楼 B321 报告人： 郑海荣（研究员，中国科学院深圳先进技术研究院） 报告摘要： 医学超声技术在生物医学及临床上有着重要的价值，近年来声信息技术的发展有力的推动了 超声应用创新。超声由于其独特的机械能量效应，近年来展示出在超声定量功能成像、给药 和治疗方面一系列前沿进展，使得多功能超声“成像-给药-治疗”一体化技术革新变成可能。 本报告将讲述研究小组关于超声技术在定量功能成像（靶向微泡分子影像、生物力学成像）、 辐射力定点操控、给药及治疗方面的一些最新研究成果及进展。超声分子成像是超声影像学 从非特异性物理显像向特异性靶分子成像的探索拓展，是超声影像诊断技术的重要发展方向。 主要涉及包括超声微泡非线性声学理论基础及超声激励下声及动力学特性，微米或亚微米级 气泡的非线性声学特性；靶向超声造影剂探针的制备方法与工艺；敏锐探测靶向声学探针的 低频激励高频接收等非线性超声成像方法；高频/超高频超声探头、成像系统及平台；靶向 分子成像在典型重要疾病早期诊断方面的应用现状和前景。报告中还将阐述基于高帧速超声 和辐射力技术的多维度生物组织弹性成像等超声生物力学成像最新进展。超声由于其独特的 机械能量效应以及机械波场特征，设计声场产生的定向辐射力可以定点空间移动微小颗粒和 药物，可发展为一种高效无创的定点给药治疗技术，在肿瘤等疾病的治疗等领域有着重要前 景。 清华大学学术报告:Smart Sensing Technologies for Chronic Disease Management 时间：12 月 11 日下午 3:00 地点：医学科学楼 B323 报告人：Yongji Fu, Ph.D. 报告摘要： Smart physiological sensing have become a powerful tool to extend healthcare
中国科学院 苏州生物医学工程技术研究所人事教育处 《人才快讯》2012年第八期 services from hospital to daily life for patients with chronic diseases, to improve their life quality and reduce hea l thcare costs by avoiding disease exacerbat ion and other short term and long term consequences. Wearable sensors enable ambulatory monitoring of disease specif ic physiological parameters (e. g. heart rate, blood glucose, blood pressure). Acquired physiological signal is transferred through body area network(ban) to a central device such as a smar t phone for data processing and review. Innovative signal processing algorithms are developed to overcome challenges in ambulatory moni toring such as motion artifacts and ambient noises. Patient's disease status is es timated in real time to guide medicat ion reminder caregiver not ification or automa tic drug delivery. In this talk, a number of sensing technologies (optical, acoustical, electrical), wireless BAn communication protocols and large scale data mining, decision making and closed loop control al i thms will be reviewed. Final ly, several disease mana gement systems will introduced to address different chronic diseases such as diabetes, asthma. and COPD Dr. Yong ji Fu is currently an algorithm development manager at Becton Dickinson Technologies (BDt) in Research Triangle Park of North Carolina. He leads the al gori thm research group of smart devices including continuous glucose monitor and artificial pancreas for diabetes care. Prior to joining Bdt, Dr. Fu wor ked at Sharp Laboratories of America, Siemens Medical Solutions and Welch Allyn Medical Monitoring Sys tem. He has publ ished over 20 issued/ pending patents and over 10 papers in biomedical sensing and signa l analysis fields. He is a senior member and vice chair of EMBC-ENC chapter of IEEE. He also served as a member of several internat iona l conference technical committees and as a reviewer for multiple journals Yong ji Fu received his b s degree in 1999 and m s degree in 2002 from Tsinghua University, China and phd degree in 2008 from Oregon Health and Science University US; all three degrees are in biomedical engineering 清华大学学术报告: Molecular Imaging Probes for Cancer Research 时间:12月12日下午2:00 地点:医学科学楼B321 fRsA: Xiaoyuan( Shawn)Chen, Ph D.(Chief and Senior Investigator, NIBIB, USA) Dr. Chen received his B S. in 1993 and M.S. in 1996 from Nanjing Universi ty, China. He then moved to the states and obtained his ph. d. in chemistry from the University of Idaho in 1999 under the supervision of Professor Chien M. Wai. After two quick pos doctoral programs at Syracuse University (under the mentorship of Dr. Jon Zubieta) and Washington University in St. Louis (supervised by Professor Michael J. Welch) Chen joined the University of Southern California as an Assistant Professor of Radiology. He then moved to Stanford University in 2004 to help build the Molecular Imaging Program at Stanford(MIPS)under the directorship of Professor Sanjiv Sam Gambhir, and was promoted to Associate Professor in 2008. In the summer
中国科学院 苏州生物医学工程技术研究所人事教育处 《人才快讯》2012 年第八期 services from hospital to daily life for patients with chronic diseases, to improve their life quality and reduce healthcare costs by avoiding disease exacerbation and other short term and long term consequences. Wearable sensors enable ambulatory monitoring of disease specific physiological parameters (e.g. heart rate, blood glucose, blood pressure). Acquired physiological signal is transferred through a body area network (BAN) to a central device such as a smartphone for data processing and review. Innovative signal processing algorithms are developed to overcome challenges in ambulatory monitoring such as motion artifacts and ambient noises. Patient’s disease status is estimated in real time to guide medication reminder, caregiver notification or automatic drug delivery. In this talk, a number of sensing technologies (optical, acoustical, electrical), wireless BAN communication protocols and large scale data mining, decision making and closed loop control algorithms will be reviewed. Finally, several disease management systems will be introduced to address different chronic diseases such as diabetes, asthma, and COPD. Dr. Yongji Fu is currently an algorithm development manager at Becton Dickinson Technologies (BDT) in Research Triangle Park of North Carolina. He leads the algorithm research group of smart devices including continuous glucose monitor and artificial pancreas for diabetes care. Prior to joining BDT, Dr. Fu worked at Sharp Laboratories of America, Siemens Medical Solutions and Welch Allyn Medical Monitoring System. He has published over 20 issued/pending patents and over 10 papers in biomedical sensing and signal analysis fields. He is a senior member and vice chair of EMBC-ENC chapter of IEEE. He also served as a member of several international conference technical committees and as a reviewer for multiple journals. Yongji Fu received his B.S degree in 1999 and M.S degree in 2002 from Tsinghua University, China and PhD degree in 2008 from Oregon Health and Science University, US; all three degrees are in biomedical engineering. 清华大学学术报告：Molecular Imaging Probes for Cancer Research 时间：12 月 12 日下午 2:00 地点：医学科学楼 B321 报告人：Xiaoyuan (Shawn) Chen, Ph.D. (Chief and Senior Investigator, NIBIB, USA) Dr. Chen received his B.S. in 1993 and M.S. in 1996 from Nanjing University, China. He then moved to the states and obtained his Ph.D. in chemistry from the University of Idaho in 1999 under the supervision of Professor Chien M. Wai. After two quick postdoctoral programs at Syracuse University (under the mentorship of Dr. Jon Zubieta) and Washington University in St. Louis (supervised by Professor Michael J. Welch), Dr. Chen joined the University of Southern California as an Assistant Professor of Radiology. He then moved to Stanford University in 2004 to help build the Molecular Imaging Program at Stanford (MIPS) under the directorship of Professor Sanjiv Sam Gambhir, and was promoted to Associate Professor in 2008. In the summer