Відео

Well, I wanna get a fecal microbiota transplant.

Junk science 😢. ❤

is 1 + 1 = 2?

In how many days this video is?

very informative video. Thank you for this video.

Thank you and Carry On! (And clone those healthy donors - asap.)

1:25:15

You are VERY good looking!!

Enlightening is the word I want to use too. This is a clear and insightful explanation of systems biology.

Amazing and clear explanation! Thank you

Fascinating.

🎯 Key Takeaways for quick navigation: [00:25] Schrodinger is famous for his quote "life is an aperiodic crystal". [I will come back to this] [01:14] 🩺 In personalized medicine, doctors measure height, weight, vital signs, blood pressure, pulse and temperature. [01:49] Medical school teaches doctors normal values for vital signs, for example 60-80 for pulse. [02:20] ⚠️ There are problems with personalized medicine because measurements have errors and targets may vary. [03:18] A target for glycated hemoglobin A1c, a test for diabetes, is less than 7%. [04:00] ⏱️ Blood pressure can vary depending on context, like at rest, with exercise, or during sleep. [04:40] Current medical practice mostly ignores how things change over time (dynamics) and focuses on single measurements. [04:56] 🫀 Heart rate variability (HRV) is the variation between heartbeats and reflects the complex interplay of the nervous system on the heart. [05:52] ✨ HRV encodes information about the body's overall physiological complexity, not just heart health. [06:06] HRV can be seen as a window into the body's complex, interconnected systems. [06:35] How HRV relates to the body's maintaining stable internal conditions (homeostasis) will be discussed later. [08:29] ‍⚕️ Doctors focus on what they can bill for, not necessarily what’s most informative for the patient. [08:58] Complex time series data can be visualized as music, with more complex data creating less time-symmetric patterns. [09:43] Three working hypotheses on the importance of time series data in medicine: [10:27] ❤️ Complex heart rate dynamics have features that traditional measurements miss, including non-stationarity (changes over time), non-linearity (interacting factors), and multi-scale variability. [11:39] Complex systems show time irreversibility, meaning the data cannot be “read” backwards in time. This is a hallmark of life. [12:23] 🫀 Time irreversibility in heart rate data can indicate health issues. A healthy heart rate has more asymmetry between speeding up and slowing down. [13:18] ⚠️ A very regular (sine wave) heart rate pattern might be a sign of trouble and needs medical attention. [13:50] Physiological systems are complex because they involve many interacting control systems operating at different time scales. [14:02] Memory, scaling, and adaptation are all crucial features of complex physiological systems. [14:47] Loss of complexity in heart rate data can indicate disease. It can go in two directions: complete randomness or a very regular, predictable pattern. [16:13] Healthy heart rate dynamics are a balance between order and randomness, like a “Schrodinger’s space”. [16:44] Certain patterns in heart rate variability can be dynamical biomarkers of health problems, like periodic breathing indicating heart failure. [17:14] Targeted interventions in complex systems can have unintended consequences due to non-linear interactions. [17:43] A historical example: linear approach to heart failure (increase pumping strength) backfired. Beta blockers, that decrease pumping strength, are now essential. [18:38] Many targeted drugs for heart problems have had off-target surprises and negative side effects. [20:07] Measuring complexity in medicine requires looking at multiple aspects, not a single metric. This is like trying to capture the essence of Hamlet or a symphony with one number. [20:48] ‍ There is no single "big data" answer in medicine, just like summarizing Mozart's music with means and variances wouldn't do it justice. [21:05] Multi-scale entropy is a tool to measure complexity by analyzing entropy at different time scales. [21:48] ✨ Multi-scale entropy can distinguish between healthy variability, heart failure, and atrial fibrillation by looking at how entropy changes across time scales. [22:30] ≠ Variability ≠ Complexity. They are related, but not the same thing. [23:39] 🩸 Measuring complexity of glucose fluctuations using multi-scale entropy could be a useful tool in diabetes management. [24:07] Current management of diabetes focuses on lowering blood sugar levels, but ignores the dynamics of glucose fluctuations. [24:51] Current data analysis of blood sugar readings is overwhelming for doctors and may not be very informative. [25:20] Multi-scale entropy can reveal a loss of complexity in blood sugar fluctuations in diabetic patients compared to healthy individuals. [26:43] Looking at complexity of blood sugar dynamics may help personalize treatment for diabetes and other conditions. [27:10] A new frontier in medicine could be targeting the entire system, rather than just individual molecules, to improve health outcomes. [27:41] ⚠️ Beyond the mean: Looking only at mean and standard deviation of physiological data misses important information for health. [27:55] ♻️ Maintaining and restoring complexity (flexibility, resilience) may be a new goal in medicine, alongside targeting specific biomarkers. [28:23] The body maintains homeostasis through a balance between stability and flexibility, notを目指して (めざして)目指して (めざして)目指して (めざして) (mezashiteru, aiming for) perfect constancy. [29:20] ✨ Complexity itself may be a biomarker of health and ability to cope with challenges. [29:47] Healthy systems might require inherent variability, not perfect stability. [30:01] This new understanding of complexity could change how we design experiments, develop drugs, and analyze data in medicine. [31:33] Combining heart rate variability and blood sugar measurements could be a powerful tool to study health, especially in diabetics. [32:00] ✨ Complexity analysis should consider all relevant time scales, not just focus on long-term cycles (like circadian rhythms) or short-term fluctuations in isolation. [32:55] ⌚ There might be valuable health information in high-frequency data (faster than current monitors capture), but collecting it requires technical advancements. [33:09] Biological systems are like orchestras with a range of frequencies (fast and slow) contributing to health. Disruption of this balance can be harmful. [34:10] ️‍♂️ Exercise is hypothesized to increase complexity (reserve) in the body, which might be a marker of health. [34:24] ⚠️ Stimulant drugs that don't allow for proper recovery can be harmful by overactivating the system. Made with HARPA AI

Great video thank you! very clear presentation

Only yesterday I read about the shot gun tests. Did a regular 16s pcr tests lately where they identified 248 species and now I am here trying to figure out what to do but I think we know nothing of all those billion hidden microorganisms in us. 😂 High prevotella here btw.

Thank you so much, for your detailed explanation.

Thanks a lot.

Thanks for sharing this! it was very helpful.

There are time dilation like effects to the observer that can be induced with Scalar Weaponary It is quite incredible

Very interesting. How mutable is the T cell receptor if the genetics are determined in early childhood? Would this be a factor leading to greater susceptibility of older people as the diseases evolve over the decades and become less similar to the early childhood disease environment? If the thymus shrinks as people age, could thymus stimulation produce new generations of receptor coding? I'm quite curious about what you have discovered.

I'm ok with Mr. Sinclair but he is off base with the statins and old-age being the cause \ cure for disease such as dementia, heart diseases, and the other top killers of man today. Cholesterol also has not been proven as the cause of the with the killers of man today also.

Thanks

Really, dumb idiot in the suit brought up "cost?" - I respect this discussion but kick that muppet out, he is a reflection of the archetype that is here to sabotage.

Please provide a notebook for youtub Viewers.

😊

Very good tutorial.

scaler just another name for qutum electrisity

Is the interactive notebook and slides available for youutube viewers?

Great work! Impressive

important question. can we perform QIIME2 analysis in a 24 hour time for 16 samples of roughly 100K reads each.????

As men of science, what are your thoughts on "quantum healing frequencies" , discovered by the late Royal Raymond Rife?.

are they a couple

Gosh, I just love her. She spent her whole career just nailing it - the function and purpose of the striatum, which (along with the rest of the basal ganglia) is the most important part of the brain that we've yet to properly emulate with machine learning. Her research is the sort that is integral to achieving truly thinking machines. Massive GPU farms that are spending tons of power and compute on backprop-training neural networks to generalize over their huge internet-sourced databases of input is not the way forward to the future of machine learning. What we need are simple cheap machines that can learn how to behave as needed to do useful things, and studying the striatum and basal ganglia are how we're going to get there. I'm embarrassed for the companies spending huge amounts of compute on backprop training deep networks, because eventually someone's going to apply the sort of research Ann Graybiel has done to develop something efficient, robust, and versatile, which will actually benefit humanity as a whole, unlike GPT models - which will only prove to serve as a handicap that enables the small minute fraction of humanity in tech and academia to be lazy. Giant backprop models aren't the way toward a better future. Machine intelligence - systems that can quickly and efficiently learn how to *behave* is the way toward a better future for everyone.

Thanks for sharing such an informative video. I wanted to know what things metadata.tsv file contains i.e., the column names?

5:11 Introduction to QUIIME 2 notebook, setting up enviorment 10:45 Introduction to QUIIME alghorytm 17:07 16SrRNA amplicon sequencing vs shotgun metagenomics 21:40 Metagenomics use in diagnosing recurrent C.differens infection 27:49 General workflow in QUIIME 16SrRNA analysis 28:44 Illumina FastQ file structure 36:03 Running first QUIMME command- importing fastq data as artifacts 41:57 Demultiplexing, creating quality visualisations of demultiplexed data 49:51 Denoising amplicon sequence variants in QUIIME 52:10 DADA2- plugin functions 54:10 DADA2- ASV Identification 57:19 DADA2- PCR Chimeras problem 1:01:42 DADA2- Merging 1:04:34 DADA2- visualisations 1:07:29 Diversity metrics- alpha and beta diversity 1:19:24 Principal Coordinate Analysis (PCoA) in phylogenetic tree construction 1:22:50 Beta diversity: 3D Emperor visualisation of PCoA 1:23:40 Statistical tests for beta diversity with PERMANOVA 1:27:57 Creating taxonomy based on sequences with Multinomial Naive Bayes 1:35:12 Final barplot visualisations 1:38:40 Creating heatmap of microbiota for samples

Were adapters and primers removed from sequences used in this tutorial?

Thanks much to you both.

"promosm"

Indeed, siloing different “organs” into 12-24 minute sessions, for the chronicle diseased person is STRESSFUL, and that equals further damaging for many. Stress harms = higher inflammation-itis.

The idea with designed T cells is AWESOME!

please check the picture in the drive and can you tell if the quality score is normal or not. Thanks in advance

drive.google.com/drive/folders/1fORWjh9vKRRBQPyMPt9njgJZPhk9Bsuo?usp=sharing

Hey there, The session was very informative thanks for all of the hard work , i have a query can you please tell me about it.

Well, I wanna get a fecal transplant so I could enjoy the smell of the donor's poop.

Thats' ho reitero poteitos and betabaleitos. ¿Do you spesck englis,? Un poquiglish.😢😅😅

Thats honestly amazing

Such a pleasure to listen to an exceptionally learned scientist. Thank you, Dr Hood

Hey, ISB …, am here in Fremont, any possibility I could provide my intestinal soup, for science? Just let me know! (F, over 60, and certainly missing some important bugs)

Yes! Excellent functionality, we all want better monitoring of important health markers : ). Thus far the barrier seems to be the MD/their employers/insurers/… can’t wait for you all to beat this system - it’s killing us!

Ok, it will be very useful here to use the words Fat and ToFI to describe the traditional BMI state. Commonly folks out here on you tube are familiar w/Tofi, overweight, fat. So, if your work is about disease, it would be great to name it something Other than the ‘bmi’ - an entirely separate nomenclature would help clear the fog this new biological ‘bmi’ will be creating with us plebes. (Your mentioning of ‘losing weight’ as one of the factors/goals we would have is VERY confusing, as we all know of/are ourselves not healthy but normal/proper/under - weight. I am the latter, from an A-Immune disease. And resulting reduction in muscle function, etc, due to destroyed joints, pain, diminished digestion, etc)

Hi there! Thanks for this link in my email . . . however it never hurts to Turn Up the Volume!! while recording, esp in this case Dr Heath, please. Will comment further after listening (to the lovely Dr Heath mumble a bit!)