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关于生殖器疱疹的诊断和鉴别
状态：就诊前
疱疹和念珠菌感染都是有可能的，下一步，一是复查HSV，一是观察是否复发
状态：就诊前
尊敬的吴大夫;感谢您4月21日的回复，我于4月22日至省立医院皮肤科复诊，由于上文说的三块红斑结痂后的状态不放心，挂专家门诊，并向专家提出是否有尖锐湿疣的可能，专家观察后否定，说是结痂后的皮肤状态，过一段时间自己会恢复，而且说我有恐尖症，现在还是发白，发亮，有点像放大的毛囊，看了您4月20日尖锐湿疣易被误诊一文，尖锐湿疣分两大类，第二类类似扁平疣，心中又不安，不知是否是尖锐湿疣?望回复
状态：就诊前
尊敬的吴大夫;感谢您4月21日的回复，我于4月22日至省立医院皮肤科复诊，由于上文说的三块红斑结痂后的状态不放心，挂专家门诊，并向专家提出是否有尖锐湿疣的可能，专家观察后否定，说是结痂后的皮肤状态，过一段时间自己会恢复，而且说我有恐尖症，现在还是发白，发亮，有点像放大的毛囊，看了您4月20日尖锐湿疣易被误诊一文，尖锐湿疣分两大类，第二类类似扁平疣，心中又不安，不知是否是尖锐湿疣?望回复
状态：就诊前
尊敬的吴大夫;感谢您4月21日的回复，我于4月22日至省立医院皮肤科复诊，由于上文说的三块红斑结痂后的状态不放心，挂专家门诊，并向专家提出是否有尖锐湿疣的可能，专家观察后否定，说是结痂后的皮肤状态，过一段时间自己会恢复，而且说我有恐尖症，现在还是发白，发亮，有点像放大的毛囊，看了您4月20日尖锐湿疣易被误诊一文，尖锐湿疣分两大类，第二类类似扁平疣，心中又不安，不知是否是尖锐湿疣?望回复
不是，接触还不到一个月，没有这么快
状态：就诊前
尊敬的吴大夫;我由于心中比较恐惧湿疣，在4月24日又赴省立医院，做了梅毒检查，为阴性，同时复查了HSV抗体，我想问一下，1、多长时间没有湿疣现象，才能证明我未患湿疣.我左侧腋窝下有一瘊子有十来年了，发展成黄豆大小，是否是湿疣，肛周处01年发现有一肉赘，至今发展成黄豆大小，是否需要治疗(本人体胖，易出汗)。2、如果我HSV抗体仍为阴性，是否能说明未患疱疹,还需3个月后复检吗3、金标法6周HIV为阴是否能排除艾滋病，谢谢您对我的帮助，急切盼回复
排除湿疣需要观察至少9个月时间
可以做一下病理，确认到底是不是湿疣
6周就非常安全了
状态：就诊前
尊敬的吴大夫 ;首先补祝您五一节快乐！自从有了这个病后，我一直沉浸在深深的自责中，工作生活几近崩溃。感谢您对我的帮助和指导，仍有几个问题需要咨询
1、3月26日带套高危，两小时后发现有红斑，用碘伏处理3日后，有溃疡，口服罗红霉素5天，4月6日、4月22日查疱疹皆为阴(期间自4月13日起每天服用阿昔洛韦，一天四次，一次0.2g至4月20日)，我该怎么办，是否应三个月后复查？
2、3月26日带套高危，4月22日、5月3日（期间口服罗红霉素5天）查梅毒RPR/TPPA皆为阴，是否能排除梅毒？
3、3月26日带套高危，2周、4周、38天查HIV皆为阴是否能排除HIV？由于比较恐惧，体重下降，如果感染HIV，出现急性症状，是否能检测出来？
您的回答对我很重要，谢谢
三者基本上都可以排除
状态：就诊前
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订单状态：已结束
病情信息：1、3月26日带套高危，两小时后发现有红斑，用碘伏处理3日后，有溃疡，口服罗红霉素5天，4月6日、4月22日查疱疹皆为阴(期间自4月13日起每天服用阿昔洛韦，一天四次，一次0.2g至4月20日)，我该怎么办，是否应三个月后复查？
2、3月26日带套高危，4月22日、5月3日（期间口服罗红霉素5天）查梅毒RPR/TPPA皆为阴，是否能排除梅毒？
3、3月26日带套高危，2周、4周、38天查HIV皆为阴是否能排除HIV？由于比较恐惧，体重下降，如果感染HIV，出现急性症状，是否能检测出来？
状态：就诊前
11:03 s***申请预约吴焱大夫15分钟电话咨询
1、3月26日带套高危，两小时后发现有红斑，用碘伏处理3日后，有溃疡，口服罗红霉素5天，4月6日、4月22日查疱疹皆为阴(期间自4月13日起每天服用阿昔洛韦，一天四次，一次0.2g至4月20日)，我该怎么办，是否应三个月后复查？
2、3月26日带套高危，4月22日、5月3日（期间口服罗红霉素5天）查梅毒RPR/TPPA皆为阴，是否能排除梅毒？
3、3月26日带套高危，2周、4周、38天查HIV皆为阴是否能排除HIV？由于比较恐惧，体重下降，如果感染HIV，出现急性症状，是否能检测出来？
20:03 和患者sorrylove完成电话咨询
状态：就诊前
电话咨询：
用户反馈：:问题都问了，吴大夫解答的很详细，很满意
状态：就诊前
s***对电话咨询的评价：
问题都问了，吴大夫解答的很详细，很满意
1.扫码下载好大夫App
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疾病名称：生殖器疱疹&&
希望得到的帮助：这病能治愈吗？现在自己能买药吃吗
病情描述：龟头边上长小水泡，今天在晋江看了，医生说生殖器疱疹，然后让我去检查，但是报告要下礼拜一下午出来，医生也没给开药，水泡前天刚出来，我怕等下礼拜会托太久。自己能先买阿昔洛伟片吃吗？这病...
疾病名称：生殖器疱疹，bv阳性&&
希望得到的帮助：给我对症治疗的方法！让我预约成功！
病情描述：现在是阴部有点痒，发作的时候会出现几个红疹子有点像疱疹！臀部也有点痒！
疾病名称：生殖器疱疹&&
病情描述：想了解一下到底有没有治愈办法。
疾病名称：生殖器疱疹&&
病情描述：我现在在服用大夫给我开的药，疱疹已经结痂愈合了
疾病名称：生殖器疱疹&&
希望得到的帮助：希望教授能帮我确诊一下
病情描述：我患有生殖器疱疹已经一年多了，每次出现症状都是长几颗成簇型，然后溃烂，而且每个月都会复发，现在是采用抑制疗法，不过近三个月症状不太典型，每次都是一颗，而且有时候症状两三天就消失了，...
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吴焱大夫的信息
1.常见皮肤病； 2.高危性行为的风险评估； 3.性病/妊娠性病（HPV感染/尖锐湿疣、梅毒、生殖器疱疹、衣原体/...
吴焱，男，医学博士，北京地坛医院皮肤科主任医师，北京大学医学部副教授、硕士研究生导师，首都医科大学副...
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各位老师好，我最近在做Morris水迷宫行为学实验，遇到了一个问题，求教：问题：我用的老鼠是B6的小鼠，两组老鼠，每组10只，今天训练的第五天正常组的潜伏期突然增加，几乎和实验组一样。而且今天在做实验的过程中也发现，有几只正常组老鼠在第一次找到平台后，接下来的3次训练都没有找到。这是我最近几天训练的结果图：我查到一篇文献里面，给的曲线图是在第六天的时候接近30s[img]data:image/base64,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
不知道邀请谁？试试他们
微信扫一扫
广告宣传推广
政治敏感、违法虚假信息
恶意灌水、重复发帖
违规侵权、站友争执
附件异常、链接失效
微信扫一扫
广告宣传推广
政治敏感、违法虚假信息
恶意灌水、重复发帖
违规侵权、站友争执
附件异常、链接失效
第一个方面有可能的。第二点可以排除，啮齿类动物恐水。你的实验条件？人员的位置？周围的背景？灯光？水温？室温？实验过程有无人员讲话之类的？
微信扫一扫
广告宣传推广
政治敏感、违法虚假信息
恶意灌水、重复发帖
违规侵权、站友争执
附件异常、链接失效
谢谢，楼上。我觉得这个品系的小鼠无法达到，平均15秒的成绩。而且我做的数据，标准差太大。我咨询了一位老师，他说可能和我之前刚刚进行了fear conditioning有关系。我今天尝试改变了训练方法发现还是有一定效果的，决定明天再training一天，后天直接test，烦不了了。
微信扫一扫
广告宣传推广
政治敏感、违法虚假信息
恶意灌水、重复发帖
违规侵权、站友争执
附件异常、链接失效
nealtcm 谢谢，楼上。我觉得这个品系的小鼠无法达到，平均15秒的成绩。而且我做的数据，标准差太大。我咨询了一位老师，他说可能和我之前刚刚进行了fear conditioning有关系。我今天尝试改变了训练方法发现还是有一定效果的，决定明天再training一天，后天直接test，烦不了了。 我做了好多water maze。C57B6的小鼠在1m的maze中，潜伏期不到10s。一般你看到的结果，给出的是标准误，而不是标准差。1. fear conditioning以后，至少要让小鼠休息一周才检测。2. 需要看到你的小鼠在training过程中轨迹图，才能判断你的小鼠为什么不喜欢找平台。3. 水温很重要，特别是夏天。我是把温度控制在22°左右。不然，小鼠会把迷宫当成游泳池。4. 你training的方法是用间隔多少时间？
微信扫一扫
广告宣传推广
政治敏感、违法虚假信息
恶意灌水、重复发帖
违规侵权、站友争执
附件异常、链接失效
前辈做的行为学训练方案有吗，或者有发表的论文参考也可。谢谢提点。我看到的文献截图里面，训练6天也有30秒的潜伏期，所以我也很怀疑自己的训练方法有问题。我后来把Training的间隔时间延长一下，有点进步。我后来发现作图时都是用的SEM，同学也提醒了我。谢谢楼上。
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广告宣传推广
政治敏感、违法虚假信息
恶意灌水、重复发帖
违规侵权、站友争执
附件异常、链接失效
nealtcm 前辈做的行为学训练方案有吗，或者有发表的论文参考也可。谢谢提点。我看到的文献截图里面，训练6天也有30秒的潜伏期，所以我也很怀疑自己的训练方法有问题。我后来把Training的间隔时间延长一下，有点进步。我后来发现作图时都是用的SEM，同学也提醒了我。谢谢楼上。 Nature protocol有非常详细的说明，你可以去下。而且，关于水迷宫的只有这一篇，很容易找。貌似园子里就有。
微信扫一扫
广告宣传推广
政治敏感、违法虚假信息
恶意灌水、重复发帖
违规侵权、站友争执
附件异常、链接失效
nealtcm 前辈做的行为学训练方案有吗，或者有发表的论文参考也可。谢谢提点。我看到的文献截图里面，训练6天也有30秒的潜伏期，所以我也很怀疑自己的训练方法有问题。我后来把Training的间隔时间延长一下，有点进步。我后来发现作图时都是用的SEM，同学也提醒了我。谢谢楼上。 Nature protocol有非常详细的说明，你可以去下。而且，关于水迷宫的只有这一篇，很容易找。貌似园子里就有。
微信扫一扫
广告宣传推广
政治敏感、违法虚假信息
恶意灌水、重复发帖
违规侵权、站友争执
附件异常、链接失效
微信扫一扫
广告宣传推广
政治敏感、违法虚假信息
恶意灌水、重复发帖
违规侵权、站友争执
附件异常、链接失效
关于丁香园}