- 97
- 215 048
Dr. Tamer Soliman
Приєднався 10 жов 2007
Basic Immunology - Cell-mediated Immune Response Part 4
Differentiation of naïve CD8+ T cells to CTLs
- Role of Helper T cells
- Function of CTLs
- T cell Exhaustion
Differentiation to Memory T cells
- Development of Memory T Cells
- Types of Memory T cells
- Properties of Memory T cells
Decline of T cell Responses
Mechanisms of Microbial Resistance to CMI
- Role of Helper T cells
- Function of CTLs
- T cell Exhaustion
Differentiation to Memory T cells
- Development of Memory T Cells
- Types of Memory T cells
- Properties of Memory T cells
Decline of T cell Responses
Mechanisms of Microbial Resistance to CMI
Переглядів: 104
Відео
Basic Immunology - Cell-mediated Immune Response Part 3
Переглядів 73Місяць тому
Naïve T cell Differentiation into: - T Helper 1 cells - T Helper 2 cells - T Helper 17 cells - Follicular Helper Y cells - Regulatory T cells
Basic Immunology - Cell-mediated Immune Response Part 2
Переглядів 68Місяць тому
1. Activation of T cells - Signal: Antigen Recognition - Signal 2: Costimulation - Signal 3: Cytokines - Costimulatory vs. Coinhibitory Molecules and Their Clinical Applications 2. Clonal Expansion of Activated T cells - Role of IL-2 and IL-2 Receptors
Basic Immunology - Cell-mediated Immune Response Part 1
Переглядів 126Місяць тому
Introduction Lymphocyte trafficking
How to troubleshoot out-of-control conditions?
Переглядів 5188 місяців тому
How to Contain The Error? How to Troubleshoot The Source of Error? How to Identify and Correct Reported Erroneous Patient Results?
Analytical Errors
Переглядів 9018 місяців тому
This video describes type of Analytical Errors and provides the concept of Total Error and Total allowable error
Statistical Quality Control - 4 (CUSUM and EWMA)
Переглядів 2578 місяців тому
Statistical Quality Control - 4 (CUSUM and EWMA)
Statistical Quality Control - 3 (Westgard Rules - Part B)
Переглядів 3788 місяців тому
Statistical Quality Control - 3 (Westgard Rules - Part B)
Statistical Quality Control - 2 (Westgard Rules - Part A)
Переглядів 4878 місяців тому
Statistical Quality Control - 2 (Westgard Rules - Part A)
Statistical Quality Control - 1 (Levey-Jennings Charts)
Переглядів 8548 місяців тому
Types of Statistical QC charts Levey-Jennings Charts Control Limits
1. Intro and Equipment Management Implementation plan
Переглядів 501Рік тому
1. Intro and Equipment Management Implementation plan
Immunology Lectures - Hypersensitivity Reactions
Переглядів 1 тис.Рік тому
Immunology Lectures - Hypersensitivity Reactions
Immunology Lectures - Transplantation Immunology
Переглядів 920Рік тому
Immunology Lectures - Transplantation Immunology
Immunological Diagnosis of Autoimmune Diseases - Part 1
Переглядів 922Рік тому
Immunological Diagnosis of Autoimmune Diseases - Part 1
😂❤❤❤❤
❤
Z score of gahar in pT has defined range?
one of doctor in indonesia want do it 10 days and 10 times reapitation, is that okey sir? and how to explaint if this enough 5 × 5
دكتور ممكن توضح ازي dendritic cell ...بتعرض antigen لل cD4 and cD8 فى نفس الوقت .و قصة cross presentation??.
هتلاقيها مشروحة في فيديو ال antigen presentation ua-cam.com/video/_zQ7X5pF5r8/v-deo.html 58:15
السلام عليكم ورحمه الله وبركاته هل متاح محاضرات شاملة كل منهج heamatology
جزاكم الله خيرا د تامر.. المحاضرات رائعة اللهم بارك ممكن حضرتك ترفق ال pdf الخاص بالمحاضرة لان اللي موجود خاص بالمحاضرة السابقة
drive.google.com/drive/folders/1R7BLDLNmKrCdOrVLhbLYXEH9W7DK9iY0?usp=drive_link
السلام عليكم .. جزاكم الله خيرا د تامر .. هل متاح محاضرات الجودة كاملة pdf
drive.google.com/drive/folders/1R7BLDLNmKrCdOrVLhbLYXEH9W7DK9iY0
كيف ممكن افتح الاكسيل شيت
Good afternoon Dr. Tamer Soliman, I am interested in your explanation about the amazing CLSI EP15 - A3. Can I ask for the excel table you used ? The link you show in the comment and video description cannot be accessed. Thank You
docs.google.com/spreadsheets/d/12EafFxVEMbqf0UFYbSgVtX8xVSuqQdna/edit?usp=drive_link&ouid=109238483585315709657&rtpof=true&sd=true
@@tamer273hello Dr. Great info. Can i request access for the template. Thank you in advance
أروع محاضرة عن ال validation ❤
Any excel template share for us to deep down?
docs.google.com/spreadsheets/d/12EafFxVEMbqf0UFYbSgVtX8xVSuqQdna/edit?usp=drive_link&ouid=109238483585315709657&rtpof=true&sd=true
ممكن من فضلك طرق حساب و الرسم البياني بتاع accuracy,precision linearity
بعد اذن حضرتك يا دكتور فين ممكن نتدرب على flow cytometer
This is good. Thank you.
كل الشكر والتقدير لك يا دكتور بجد جهد تستاهل كل تقدير عليه
رااائع مشكور يا دكتور
سلام عليكم دكتور جزاك الله خيرا هل يمكن الحصول على ملف المحاضرة بصيغة ورد او pdf او ppt
ألف شكر يا دكتور تامر، شرح وافي ورائع، ربنا يجعله في ميزان حسناتك عندي استفسارين لو تكرمت: ١. بخصوص ال limit اللي هو absolute number في الجدول ليه مختلف عن CLIA %TEa ، يعني لو حولنا نسبة الخطأ المسموح به لرقم هيكون مختلف وغالبا أكبر. ٢. ليه بنضيف قيمة ال limit علي ال mean عشان نحدد الUL & LL ، مش المفروض نضيفها على ال expected بما اننا عايزين نحدد الهامش المسموح به حوالين ال expected.
ربنا يباركلك دكتورنا المحترم
ربنا يكرمك استاذنا د تامر
Rt skewed curve not left one.
دكتور اشرح بصوتك
QUESTION 1 : C QUESTION 2 : C QUESTION 3 : B QUESTION 4 : A QUESTION 5 :B
شكرا د. تامر
راااااااااااائع
بارك الله لك استاذنا د تامر
thank you professor
this is an iconic lecture Dr.Tamer.you helped us so much in simplifying the CLSI.
جزاك الله عنا خير الجزاء استاذنا دكتور تامر
ربنا يجزيك خيرا استاذنا الدكتور تامر باشا....وسع الله عليكم رزقه كما علمتنا.........اخوك د بهاء
ال pdf لو سمحت يا دكتور
drive.google.com/drive/folders/1otsWNE65py47xcEMY3ylIy3rpYUKgJYg?usp=drive_link
❤❤❤
جزاك الله خيرا الاستاذ الدكتور تامر على هذه المحاضرات الرائعة
جزاكم الله خيرا يا دكتور محاضرة ممتازة ❤
Pdf please, thank you 😊
drive.google.com/file/d/1NtFhJDVWjSuJLg-7grEA0D0OaVSstW9Z/view
Pdf please, thank you for your help
تسلم ايدك ممكن حضرتك تبعتي لي محاضره بي دي اف شكرا جزيلا 😊😊
thank you very much from Algeria
ما شاء لله ربنا يوفقك يا دكتور ممكن pdf للمحاضرات
Hello sir your this video help a lot to understand the platelet histogram . may i got this PPT if possible?.
دكتور اريد اتواصل معاك اذا ممكن اميل حضرتك بخصوص مادة المناعة
tamer2732@gmail.com
دكتور ممكن محاضرات الكواليتي pdf للطباعة@@tamer273
You're always WELCOME, Dr. Eman The example described above, as you said, is so simple to enable my students to catch the concept of CUSUM. In real practice, the CUSUMs are applied in different designs, and many of them are bidirectional (negative or positive directions). The determination of minimal values and alarm thresholds varies according to expert opinions, desired level of quality, clinical impact, no. Of samples per day, sensitivity of the instruments ... etc. I could provide you with a formula for rough estimation of minimal values and alarm thresholds
thank you so much dr. Tamer , this is simplified clear explanation of QC interpretation . and I wonder how to determine the SDI minimal value and alarm threshold in the CuSum? and how to calculate if the results are up and down from the mean ( + or - SDI ) do we calculate absolute SDI values or if only on one side of the QC result reading?
In cumulative sum (CUSUM) quality control, alarm thresholds and minimal values are determined based on the following factors: * **Desired level of quality:** The laboratory must first define the desired level of quality for the test in question. This is typically expressed as the maximum allowable error or bias. * **Variability of the test system:** The laboratory must also estimate the variability of the test system. This can be done by calculating the standard deviation of the test results over a period of time. * **Number of samples tested:** The number of samples tested per day or per batch will also affect the alarm thresholds and minimal values. Once these factors have been considered, the laboratory can use the following formulas to calculate the alarm thresholds and minimal values: **Alarm threshold:** ``` Alarm threshold = k * √(n) * SD ``` where: * k is a constant that depends on the desired level of quality * n is the number of samples tested per day or per batch * SD is the standard deviation of the test results **Minimal value:** ``` Minimal value = Alarm threshold / 2 ``` The alarm threshold is the point at which the CUSUM plot will signal that the test system is out of control. The minimal value is the point at which the CUSUM plot will signal that the test system is approaching a state of being out of control. The laboratory can adjust the alarm threshold and minimal value based on its own experience and the performance of the test system. For example, if the test system is very stable, the laboratory may choose to use a higher alarm threshold and minimal value. Conversely, if the test system is known to be variable, the laboratory may choose to use a lower alarm threshold and minimal value. By carefully selecting the alarm thresholds and minimal values, the laboratory can use CUSUM quality control to effectively monitor the performance of its test systems and ensure that they are providing accurate and reliable results to patients. Here are some examples of how alarm thresholds and minimal values are determined in practice: * **For a chemistry analyzer with a desired level of quality of ±2% and a standard deviation of 0.5%, the alarm threshold would be calculated as follows:** ``` Alarm threshold = 2 * √(20) * 0.5 Alarm threshold = 4.47 ``` * **The minimal value would then be calculated as follows:** ``` Minimal value = 4.47 / 2 Minimal value = 2.24 ``` * **For a hematology analyzer with a desired level of quality of ±5% and a standard deviation of 1.0%, the alarm threshold would be calculated as follows:** ``` Alarm threshold = 3 * √(20) * 1.0 Alarm threshold = 6.32 ``` * **The minimal value would then be calculated as follows:** ``` Minimal value = 6.32 / 2 Minimal value = 3.16 ``` These examples show how the alarm thresholds and minimal values can be adjusted based on the desired level of quality and the variability of the test system.
You're always WELCOME, Dr. Eman The example described above, as you said, is so simple to enable my students to catch the concept of CUSUM. In real practice, the CUSUMs are applied in different designs, and many of them are bidirectional (negative or positive directions). The determination of minimal values and alarm thresholds varies according to expert opinions, desired level of quality, clinical impact, no. Of samples per day, sensitivity of the instruments ... etc. I could provide you with formulas for rough estimation of minimal values and alarm thresholds
@@tamer273 thank you so much, i think that the CUSUM Is better than applying WG rules for early detection of systematic errors as you said.
السلام عليكم من فضلك عايزه PDF of Qc بتاعت حضرتك كامله شكرا جزيلا لك
Here is the Lecture Link Best regards drive.google.com/file/d/1XZ-xJzFYnV9Zq1gL6r1S1zYCR1TtLPTR/view?usp=drive_link
@@tamer273 الف شكر يا دكتور جزاك الله خيرا
اللينك مش شغال@@tamer273
ممكن لينك المحاضرات pdf دكتور تامر ؟ جزاكم الله خيرا
You are a sign of success Dr.Tamer
جزاك الله خيرا و ربنا يزيدك
جزاك الله خيرا
بارك الله فى علمك
الجمال والحلاوة مجتمعان ...............جزاك الله كل خير.....والله في ناس بيبيعوا الاكسل شيت بمبالغ خرافية ولوقت محدد كمان ...على وضعك والله يا أستاذنا د.تامر