第一篇：医药学专业自我介绍
医药学专业自我介绍(精选多篇)
好范文为大家整理了以下这一份关于医药学专业毕业生的自我鉴定范文，仅供广大毕业生前来参考一下。
由于经过一个学期的学习，我知道了医学理论学作为医学与理论学相交叉的边缘学科，其宗旨在于提高学生的医学人文素质和综合职业素质，再加上后来的实践活动使理论更加与实际的紧密联系，令我认为学习医学理论学成为医学生一门必须学习的课程。
在“药学中西、医学济世”八字校风的鞭策下，我努力学习，刻苦钻研、勇于进取，时刻向“将自己培养成为具备高综合素质的临床药学毕业生”的目标奋进。我还获得了学校三好学生和二等奖
学金等重要奖项。学习当中我深深的体会到，我们以履行公民义务为光荣，本着社会共济、关爱他人的精神，用爱心共同托起生命的希望。血液是生命的源泉，爱是生命的曙光。生命之源联系着你、我、他，我们的爱心是无限的。
所以在有限的学习期间，我在学校形成尊重劳动、尊重知识，培养德、智、体、美全面发展的高素质学生，注重学术的理念：崇尚学术，营造发扬学术民主和学术自由、重视学术成就的浓郁学术氛围。只有坚持这种理念，才能不断取得科学研究的丰硕成果，才能不断提高自身的学术水平和知识质量，知识创新和文化传播等做出应有贡献。
花蕾要绽放，不是在温室，而是在肥沃的土壤上吸收天地日月精华，经受风霜雨雪考验。我要成才，我必须在广阔天地里自我历练，真正在熟悉自我、完善自我、熟悉社会、服务社会的社会实践中成长为社会英才。只有熟悉了自我，完善了自我，才能更好地熟悉社会，服务社会;只有在熟悉社会、服务社会的过程里才能更好地熟悉自我、完善自我。
在往后的学习中，我会更加努力，我会牢记着医学生的誓词：我自愿献身医药学，热爱祖国，忠于人民，恪守药德，尊师守纪，刻苦钻研，孜孜不倦，精益求精，面发展。我决心竭尽全力除人类之病痛，助健康之完美，维护医术的圣洁和荣誉，救死扶伤，不辞艰辛，执着追求，为祖国医药卫生事业的发展和人类身心健康奋斗终生。
下面就一起来欣赏以下这一份关于医药学专业学习的自我鉴定范文，欢迎大家浏览。
由于经过一个学期的学习，我知道了医学理论学作为医学与理论学相交叉的边缘学科，其宗旨在于提高学生的医学人文素质和综合职业素质，再加上后来的实践活动使理论更加与实际的紧密联系，令我认为学习医学理论学成为医学生一门必须学习的课程。
在“药学中西、医学济世”八字校风 的鞭策下，我努力学习，刻苦钻研、勇于进取，时刻向“将自己培养成为具备高综合素质的临床药学毕业生”的目标奋进。我还获得了学校三好学生和二等奖学金等重要奖项。学习当中我深深的体会到，我们以履行公民义务为光荣，本着社会共济、关爱他人的精神，用爱心共同托起生命的希望。血液是生命的源泉，爱是生命的曙光。生命之源联系着你、我、他，我们的爱心是无限的。
所以在有限的学习期间，我在学校形成尊重劳动、尊重知识，培养德、智、体、美全面发展的高素质学生，注重学术的理念：崇尚学术，营造发扬学术民主和学术自由、重视学术成就的浓郁学术氛围。只有坚持这种理念，才能不断取得科学研究的丰硕成果，才能不断提高自身的学术水平和知识质量，知识创新和文化传播等做出应有贡献。
花蕾要绽放，不是在温室，而是在肥沃的土壤上吸收天地日月精华，经受风霜雨雪考验。我要成才，我必须在广
阔天地里自我历练，真正在熟悉自我、完善自我、熟悉社会、服务社会的社会实践中成长为社会英才。只有熟悉了自我，完善了自我，才能更好地熟悉社会，服务社会;只有在熟悉社会、服务社会的过程里才能更好地熟悉自我、完善自我。
在往后的学习中，我会更加努力，我会牢记着医学生的誓词：我自愿献身医药学，热爱祖国，忠于人民，恪守药德，尊师守纪，刻苦钻研，孜孜不倦，精益求精，面发展。我决心竭尽全力除人类之病痛，助健康之完美，维护医术的圣洁和荣誉，救死扶伤，不辞艰辛，执着追求，为祖国医药卫生事业的发展和人类身心健康奋斗终生。
下面就一起来欣赏以下这一份关于医药学本科毕业生的优秀自我评价范文，欢迎广大毕业生浏览。
蓦然回首四年大学生活，当年单纯懵懂的少年已成成熟稳重之人，使我有此巨变的正是那段不凡的人生经历以及其对梦想坚持不懈的努力。
本人努力学习，刻苦钻研、勇于进取。在四年里，曾当任过班长、学生会学习部部委、学生社团联合会文化部部长等校内重要学生干部，曾多次参加过大量的校内外的活动，由于成绩突出，本人还获得了学校三好学生和二等奖学金等重要奖项。尊敬老师，团结同学，在校内拥有广泛的群众基础。
在兼顾学业的前提下，还不忘对自身能力的培养，积极参加各种校内校外的培训，拓宽了眼界的同时，积累了大量的社会实践经验，使德智体得到全面的发展。在实习期间，持着主动求学的学习态度，我积极向带教老师学习，秉着“健康所系性命相托”的信念，孜孜不倦地吸收医药学知识，为日后的学习、工作打下坚实的基础。由于工作认真，表现出色，得到科室的一致好评。
我将在以后的工作和学习中更加努力，不断充实自我、完善自我，刻苦钻研，孜孜不倦，精益求精，竭尽全力除人类之病痛，为祖国医药卫生事业的
发展和人类身心健康奋斗终生。
1.introduction to quantitative risk assessment
2.risk analysis is a valuable tool in the management of
microbial food safety issues and can provide a systematic
approach for the regulatory authorities and the food industry
to control the risk posed by a pathogen in a particular
food commodity.risk analysis consists of three elements:
risk assessment, risk management and risk communication.risk assessment is the scientific part of the process in which
the hazards are identified and the risk posed by that particular
hazard is calculated.the principles of
risk assessment including the four stages involved are outlined by the codex
alimentarius commission.each of the stages is summarised below.1.1.hazard identification
a hazard is defined as an agent having an adverse effect
on the public health of the human population and may
pose a short term, chronic, or fatal risk to a person.the
identification of microbial hazard associated with a particular
food is generally based on information generated from
routine microbial analysis of the commodity or from an
epidemiological linkage of a particular pathogen with a
case of food borne infection.1.2.exposure assessment
exposure assessment is a quantitative estimation of the
presence of a contaminant in a serving of food at the time
of consumption, or as close to this stage as is scientifically
possible and practical.however, the final estimation of the numbers and prevalence of a pathogen in the food is of ten
based on an accumulation of data on the prevalence and
numbers of pathogen at key points in the food chain with
data included on how particular stages in the food chain
affect the numbers/prevalence of the pathogen.the final
step in the process estimates the amount of contaminant
in a single serving, with information on the typical amount
of food consumed in a serving procured from nutritional
databases.the exposure assessment model can be ‘deterministic’，i.e.derived using single data points along the food chain.however, this approach may result in outlier values being
ignored and thus under or overestimating the risk.a more
common approach is to use a probablistic or stochastic
analysis, in which a distribution curve representing all data
is used as opposed to a single point estimate.typically a
monte carlo analysis is used to include data from all the
distributions along the chain and is done using software
such as @risk.in these analyses, a
single data point is chosen at random from each distribution
curve and used to calculate an outcome.the process
is repeated several thousand times with
a different data point in each distribution chosen each time
and with the final output being based on all the iterations.the error in the predicted risk may be due to variability or
uncertainty, and there is increasing emphasis being placed
on quantifying and separating the impact of both uncertainty
and variability in risk assessments.1.3.hazard characterisation
hazard characterisation relates exposure to a hazard
with the probable public health outcome.a
dose–response relationship can be used to estimate the
amount of pathogens which causes illness.the
data used in generating dose–response models are derived
from a variety of sources including human clinical trials，epidemiological studies based on food poisoning outbreaks，animal clinical trials, in vitro studies using cell lines，biomarkers or expert opinion.in some cases, the dose–
responses will describe the susceptibility of different populations，i.e.general population and immunocompromised.1.4.risk characterisation
the final stage in the process estimates the adverse
public health effect, or risk as a
consequence of exposure
to the hazard.this may be a prediction of illness per typical
serving or calculated as an annual risk of illness.depending on the hazard characterisation data available，the risk estimates may be broken down into age categories，based on differences in immune status in order to
identify groups which may be at higher risk following
exposure to the contaminant.the risk characterisation
model is generally developed using commercial software such as @risk or crystal ball.these programs can separate the distribution
for the overall risk prediction into uncertainty and variability
to allow more complex risk
estimation and analyses
of the data.the generated model can be used to assess
which parts of the chain significantly affect risk or to
assess the changes in predicted illness by incorporation
of a new hypothetical risk mitigation strategy at a particular
point in the chain.this paper reviews escherichia coli o157:h7 in the farm
to fork beef chain and examines how quantitative risk
assessment models have been applied to establish and manage
the risk posed.while other serovars of verocytotoxigenic
e.coli
are now emerging as a cause of similar illness to e.coli
o157:h7 they are not addressed in
this paper as there is
still limited information on their transmission thorough
the beef chain and they have not been included in any published
quantitative risk assessment models.2.e.coli o157:h7: human clinical aspects
e.coli o157 is a member of the enterhaemorrhagic
group of e.coli and was first implicated in infectious
disease in the early 1980s.the
symptoms of infection include bloody diarrhoea and severe
abdominal pain.haemolytic uraemic syndrome , a
cause of acute renal failure, may be a complication of the
illness, and neurological problems in the form of thrombotic
thrombocytopaenic purpura may
also occur.immuno-compromised patients, including young children
and the elderly, are at particular risk of developing hus.the time from exposure to onset of symptoms ranges from to 14 days.however, with complications the
illness may last many months and lead to permanent damage
or even death.pathogenicity is related to the ability of
the organism to adhere to and colonise the human large
intestinal epithelial tissue, forming attachment and effacing
lesions and the production of verocytotoxins.the
e.coli verocytotoxins are closely related to the shiga toxin
of shigella dysenteriae and are
typically bacteriophage
encoded.there are two main classes of verotoxin: vt1, a
homogeneous group of toxins, virtually identical to the
shiga toxin of shigella and vt2, a heterogeneous group
of toxins, more distantly related to the shiga toxin.e.coli o157 with the eae gene and vt2 are most often
associated with hus in patients.outbreaks of vtec infections involving serovar o157
have now been reported from united states and canada
bell et al., asia , australia , europe , and africa.however, the majority of cases
are sporadic and contribute significantly to overall cases
of infection.there is considerable
variation in infection
rates between different geographical regions.in europe, the
highest rates of infection are in scotland with approximately 4 cases per 100,000.in the republic of ireland
the incidence per 100,000 has ranged from a peak of
2.2 in 2014 to 1.3 in 2014.in northern europe
infection rates are very low ranging from 0.04 per
100,000 in norway and finland to 1.1 in denmark in
2014 although denmark has in 2014, reported its first general
outbreak of e.coli o157 attributed to contaminated
milk.in 2014, the incidence rate for
e.coli o157:h7 in north america was 0.9, a drop from
1.1 cases in 2014.in asia, japan has experienced the most
problems related to e.coli o157:h7 with an average incidence
rate of 2.74 per 100,000 between 1999 and 2014
.a number of sources
and reservoirs of e.coli o157 including beef and lamb，lettuce, sprouts, fruit juices, vegetables, raw milk, water
have been implicated as vehicles of transmission.person-to-person
is also an important mode of transmission, particularly
in day care centers and direct contact
with animals carrying the organism or with faecally
contaminated mud
are also recognised sources of infection
二、名词术语
医学及药学名词应使用全国自然科学名词审定委员会公布的规范名词为准。
1.现将常易出错的不规范名词纠正如下。
氨基酸转移酶细胞红细胞
作用机制侧支循环综合征
胆固醇单核－吞噬细胞系统
低钾血症高脂血症内镜
固醇发绀反胃
分枝杆菌肺源性肺梗死
脑出血脑梗死心肌梗死
脑卒中放射性核素功能
肝硬化核糖体晶状体
胶原纤维假膜咳痰
咯血抗生素磷脂酰胆碱
黏膜清蛋白期前收缩
妊娠高血压综合征三酰甘油
肾衰竭食欲缺乏食管
嗜酸性细胞性白细胞）同工酶
糖原畏食糖皮质激素
围生期下丘脑心排出量
心源性血红蛋白血流动力学 药源性医源性真菌 原发性高血压
第二篇：英语医药学专业
1.Introduction to quantitative risk assessment
2.Risk analysis is a valuable tool in the management of
microbial food safety issues and can provide a systematic
approach for the regulatory authorities and the food industry
to control the risk posed by a pathogen in a particular
food commodity.Risk analysis consists of three elements:
risk assessment, risk management and risk communication.Risk assessment is the scientific part of the process in which
the hazards are identified and the risk posed by that particular
hazard(i.e.pathogen)is calculated.The principles of
risk assessment including the four stages involved(hazard
identification, exposure assessment, hazard characterisation
and risk characterisation)are outlined by the Codex
Alimentarius Commission(Codex, 1999).Each of the stages is summarised below.1.1.Hazard identification
A hazard is defined as an agent having an adverse effect
on the public health of the human population and may
pose a short term, chronic, or fatal risk to a person.The
identification of microbial hazard associated with a particular
food is generally based on information generated from
routine microbial analysis of the commodity or from an
epidemiological linkage of a particular pathogen with a
case of food borne infection.1.2.Exposure assessment
Exposure assessment is a quantitative estimation of the
presence of a contaminant in a serving of food at the time
of consumption, or as close to this stage as is scientifically
possible and practical.However, the final estimation of the numbers and prevalence of a pathogen in the food is of ten
based on an accumulation of data on the prevalence and
numbers of pathogen at key points in the food chain with
data included on how particular stages in the food chain
affect the numbers/prevalence of the pathogen.The final
step in the process estimates the amount of contaminant
in a single serving, with information on the typical amount
of food consumed in a serving procured from nutritional
Databases.The exposure assessment model can be ‘deterministic’,i.e.derived using single data points along the food chain.However, this approach may result in outlier values being
ignored and thus under or overestimating the risk.A more
common approach is to use a probablistic or stochastic
analysis, in which a distribution curve representing all data
is used as opposed to a single point estimate.Typically a
Monte Carlo analysis is used to include data from all the
distributions along the chain and is done using software
such as @Risk(Palisade, NY, USA).In these analyses, a
single data point is chosen at random from each distribution
curve and used to calculate an outcome.The process
is repeated several thousand times(multiple iterations)with
a different data point in each distribution chosen each time
and with the final output being based on all the iterations.The error in the predicted risk may be due to variability or
uncertainty, and there is increasing emphasis being placed
on quantifying and separating the impact of both uncertainty
and variability in risk assessments(Cohen, Lampson,& Bowers, 1996;Pouillot, Beaudeau, Denis, &
Derouin, 2004).1.3.Hazard characterisation
Hazard characterisation relates exposure to a hazard
with the probable public health outcome(illness/death).A
dose–response relationship can be used to estimate the
amount(number)of pathogens which causes illness.The
data used in generating dose–response models are derived
from a variety of sources including human clinical trials,epidemiological studies based on food poisoning outbreaks,animal clinical trials, in vitro studies using cell lines,biomarkers or expert opinion.In some cases, the dose–
responses will describe the susceptibility of different populations,i.e.general population and immunocompromised.1.4.Risk characterisation
The final stage in the process estimates the adverse
public health effect, or risk as a consequence of exposure
to the hazard.This may be a prediction of illness per typical
serving or calculated as an annual risk of illness.Depending on the hazard characterisation data available,the risk estimates may be broken down into age categories,based on differences in immune status in order to
identify groups which may be at higher risk following
exposure to the contaminant.The risk characterisation
model is generally developed using commercial software such as @Risk or Crystal Ball(Decisioneering Inc., Denver,USA).These programs can separate the distribution
for the overall risk prediction into uncertainty and variability
to allow more complex risk estimation and analyses
of the data.The generated model can be used to assess
which parts of the chain significantly affect risk or to
assess the changes in predicted illness by incorporation
of a new hypothetical risk mitigation strategy at a particular
point in the chain.This paper reviews Escherichia coli O157:H7 in the farm
to fork beef chain and examines how quantitative risk
assessment models have been applied to establish and manage
the risk posed.While other serovars of verocytotoxigenic
E.coli(including E.coli O26, O111, O103, O145)
are now emerging as a cause of similar illness to E.coli
O157:H7 they are not addressed in this paper as there is
still limited information on their transmission thorough
the beef chain and they have not been included in any published
quantitative risk assessment models.2.E.coli O157:H7: human clinical aspects
E.coli O157 is a member of the Enterhaemorrhagic
group of E.coli(EHEC)and was first implicated in infectious
disease in the early 1980s(Riley et al., 1983).The
symptoms of infection include bloody diarrhoea and severe
abdominal pain.Haemolytic uraemic syndrome(HUS), a
cause of acute renal failure, may be a complication of the
illness, and neurological problems in the form of thrombotic
thrombocytopaenic purpura(TTP)may also occur.Immuno-compromised patients, including young children
and the elderly, are at particular risk of developing HUS.The time from exposure to onset of symptoms ranges fromto 14 days(Coia, 1998).However, with complications the
illness may last many months and lead to permanent damage
or even death.Pathogenicity is related to the ability of
the organism to adhere to and colonise the human large
intestinal epithelial tissue, forming attachment and effacing
(AE)lesions and the production of verocytotoxins.The
E.coli verocytotoxins are closely related to the Shiga toxin
of Shigella dysenteriae and are typically bacteriophage
encoded.There are two main classes of verotoxin: VT1, a
homogeneous group of toxins, virtually identical to the
Shiga toxin of Shigella and VT2, a heterogeneous group
of toxins, more distantly related to the Shiga toxin.E.coli O157 with the eae gene and VT2 are most often
associated with HUS in patients(Werber et al., 2003).Outbreaks of VTEC infections involving serovar O157
have now been reported from United States and Canada
Bell et al.(1994)(Lisbea), Asia(Michino et al., 1998), Australia
(Desmarchelier, 1996), Europe(Tozzi, Gorietti, &
Caprioli, 2001), and Africa(Germani, Soro, Vohito,Morel, & Morvan, 1997).However, the majority of cases
are sporadic and contribute significantly to overall cases
of infection.There is considerable variation in infection
rates between different geographical regions.In Europe, the
highest rates of infection are in Scotland with approximately 4 cases per 100,000(SCIEH, 2006).In the Republic of Ireland
the incidence per 100,000 has ranged from a peak of
2.2 in 2003 to 1.3 in 2004(HPSC, 2004).In Northern Europe
infection rates are very low ranging from 0.04 per
100,000 in Norway and Finland to 1.1 in Denmark in
2000 although Denmark has in 2006, reported its first general
outbreak of E.coli O157 attributed to contaminated
milk(Jensen et al., 2006).In 2004, the incidence rate for
E.coli O157:H7 in North America was 0.9, a drop from
1.1 cases in 2003.In Asia, Japan has experienced the most
problems related to E.coli O157:H7 with an average incidence
rate of 2.74 per 100,000 between 1999 and 2004
(Sakuma, Urashima, & Okabe, 2006).A number of sources
and reservoirs of E.coli O157 including beef and lamb,lettuce, sprouts, fruit juices, vegetables, raw milk, water
have been implicated as vehicles of transmission(Bell
et al., 1994;Cowden, Ahmed, Donaghy, & Riley, 2001;
Hilborn et al., 2000;Michino et al., 1999).Person-to-person
is also an important mode of transmission, particularly
in day care centers(O’Donnell et al., 2002)and direct contact
with animals carrying the organism or with faecally
contaminated mud(Anon, 1999;Crampin et al., 1999)
are also recognised sources of infection
第三篇：大学生职业生涯规划书医药学专业
大学生职业生涯规划书医药学专业
gkstk小编为大家搜集了一篇关于医药学专业大学生职业生涯规划书，供大家参考借鉴。
一、药学专业环境及评价
药学专业的就业方向十分广阔，与药品相关的各个领域(主要包括药品研究开发部门、生产部门、管理部门、营销及使用部门)都需要药学专业的毕业生。具体而言有医院、科研院所、药厂、医药药学专业的就业方向十分广阔，与药品相关的各个领域(主要包括药品研究开发部门、生产部门、管理部门、营销及使用部门)都需要药学专业的毕业生。具体而言有医院、科研院所、药厂、医药公司、国家药品管理机关等单位。
药学专业学生毕业后可从事一切与药物有关的工作：
科研人员在研究所、药厂的研究部门，从事药物的研发工作;
医院药剂师在医院药剂科，从事制剂、质检、临床药学等工作;
药检人员在药检所从事药物的质量鉴定和制定相应的质量标准;
公司职员在医药贸易公司或制药企业从事药品生产、流通及国内外贸易公司、国家药品管理机关
二、药学专业的现状及前景 #from 大学生职业生涯规划书医药学专业来自 end#
据了解，药学毕业生在选择工作时主要考虑单位的发展方向和知名度、是否能给自己提供充足的发展空间、工作地点和薪酬水平。目前大学毕业生就业大环境普遍不好，他们的就业也日趋理性和务实。大学生职业生涯规划书医药学专业大学生职业生涯规划书医药学专业。中国药科大学学生工作处余永久处长说，学校结合市场需求，开设的专业和招生数量与人才需求基本吻合。学生更注重对自己动手能力的培养，能结合自己的专长，选择适合的工作。
目前药学类专业专科毕业生期望的月薪为15～XX元，本科生在3元左右，基本符合用人单位愿意支付的薪酬水平，但相比往年有所下降。就业选择的结构性矛盾突出表现在地域差别上。药学类毕业生主要选择在京、津、沪和浙、苏、粤、鲁的沿海城市、省会城市就业，而一些著名的大型药企由于地域问题，很难招到满意的人才。大学生职业生涯规划书医药学专业文章大学生职业生涯规划书医药学专业出自wk-78500000544146.html，此链接！。
三、药学专业环境分析(职业生涯规划swot分析法)
1.优势(strength)
我国医院临床药学工作自8年开民以来，得到卫生部的重视和支持，并将其工作作为评定医院等级的一项重要内容，因此在各地大医院中工作开展得较好，在岗位方面，毕业生到制药企业从事生产和销售居多，这方面人才也是企业招聘的主体。现在学医药方面的前景很好，目前随着人们的生活水平在不断的提高，会对医疗，保健方面的需求会大大增加.所以只要你的技术够好，前景很好!
2.劣势(weakness)
由于我国具体的国情和两阶段培养的药师，在医院中大多数仍在从事于调剂工作和药品采购供应以及从事于制剂生产，他们缺乏坚实的临床医学和相关临床知识，难以胜任临床药学工作，这与发达国家培养的药师，在专业相关临床知识方面差距基大，当前由于经济利益的驱动，许多医院领导只关心医院的经济利益，因此，难以支持将药剂科人力、财力投向临床药学，故影响了临床药学工作的广泛深入发展，但是随着医疗卫生体制改革的进行，药剂科应主动转变观念，积极推进开展临床药学，在一些有条件的医院积极推进药学监护。药学监护的对象是所在患者，其工作目标和达到的结果是为所有接受药物治疗的患者改善生命质量和身心健康，保证其用药的安全和有效承担责任，而临床药学的工作对象，大多是住院病人和为临床医师提供各种监测数据和资料信息，这些意见采纲与否取决于医院和患者，此外，临床药学的工作目标大多是某些种类的药物和疾病状态，所以其工作范围有一定局限性。因此实施药学监护，必然要求药师应具有广泛的知识能力，才能做好此项工作。
3.机遇(opportunity)
在全国就业形势不容乐观的情况下，药科类毕业生的就业前景仍然普遍看好。医药英才网张美玲总经理介绍说，总体来看，药科类毕业生供小于求，各医药公司、制药厂是吸收这类毕业生的大户，制药业对人才的需求是稳中有升。据中国药科大学、沈阳药科大学、四川大学华西药学院、北京大学医学部药学院就业工作负责人介绍，近几年，这几所学校的毕业生就业率接近1%，总体供需比达到1∶3～1∶4。大学生职业生涯规划书医药学专业职业规划。沈阳药科大学学生工作处处长、就业办公室主任刘彦介绍说，该校的市场营销本科毕业生的供需比为1∶7，而药物制剂、天然药物化学等专业的研究生供需比甚至达到1∶1。目前从教学资源情况看，各学校都没有扩招计划。对药学毕业生来说是一个机会。
第四篇：医药学个人简历
个人简历
姓名：民族：联系电话：毕业学校：专业：住址：电子信箱：
研究生导师：
执业医师资格证书：
教育及实习经历：
培训经历：
性别：出生年月：学历：1
获奖情况：
2010-2011
2004-2009
200
5担任职务：
特长及兴趣爱好：
在校期间，我参加了基础部才艺擂台公益广告大赛，获得二等奖； 策划并参加了“一二·九勿忘国耻”活动；策划并参加了“考研宣讲团”活动，2011年“优秀团支部风采大赛”，获得一等奖。通过参加各种活动，我懂得了团队精神的重要性，也提高了我的组织协调能力。多年的校园生活养成了我乐观向上，大方开朗，热情务实，善于交流，待人诚恳，工作认真，吃苦耐劳的精神。我爱好阅读、运动，也喜欢旅游。这些爱好让我在忙碌紧张的学习之余调剂身心，劳逸结合，提高效率。
自我评价：
我出身于“中医世家”，在家人的熏陶下立志做一名医生，献身于医学事业！在校期间我学习刻苦，成绩优秀，掌握了扎实的医学基础理论知识和临床技能。一年的临床实习经历使我提高了分析问题、解决问题的能力。特别是独立工作、独立值夜班给我提供了许多实践机会，增加了我的临床经验，使我能更快速准确的对临床常见病做出诊断和治疗。我热爱“长春中医药大学”，是他孕育我成长，所以我希望成为长春中医药大学的一名医生，为中医药大学的发展做出贡献，为医学事业奋斗终身。
第五篇：医药学名词
二、名词术语
医学及药学名词应使用全国自然科学名词审定委员会公布的规范名词（科学出版社出版）为准。
1.现将常易出错的不规范名词纠正如下（括号中为不规范名词）。
氨基酸转移酶（转氨酶）细胞（白血球）红细胞（红血球）
作用机制（机理）侧支循环（侧枝循环）综合征（综合症）
胆固醇（胆甾醇）单核－吞噬细胞系统（网状内系统）
低钾血症（低血钾症）高脂血症（高血脂症）内镜（内窥镜）
固醇（甾醇）发绀（紫绀）反胃（返胃）
分枝杆菌（分支杆菌）肺源性（肺原性）肺梗死（肺梗塞）
脑出血（脑溢血）脑梗死（脑梗塞）心肌梗死（心肌梗塞）
脑卒中（中风）放射性核素（同位素）功能（机能）
肝硬化（肝硬变）核糖体（核蛋白体）晶状体（晶体）
胶原纤维（胶元纤维）假膜（伪膜）咳痰（咯痰）
咯血（咳血）抗生素（抗菌素）磷脂酰胆碱（卵磷脂）
黏膜（粘膜）清蛋白（白蛋白）期前收缩（早博）
妊娠高血压综合征（妊娠中毒症）三酰甘油（甘油三脂）
肾衰竭（肾功能衰竭）食欲缺乏（食欲不振）食管（食道）
嗜酸（碱）性细胞（嗜酸（碱）性白细胞）同工酶（同功酶）
糖原（糖元）畏食（厌食）糖皮质激素（糖皮质类固醇）
围生期（围产期）下丘脑（丘脑下部）心排出量（心输出量）
心源性（心原性）血红蛋白（血色素）血流动力学（血液动力学）
药源性（药原性）医源性（医原性）真菌（霉菌）
原发性高血压（高血压）
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