Have you ever wondered why do we combine ingredients in our recipes the way we do? Or for that matter, could we find scientific ways for altering diet to improve health? Our data-driven investigations aimed at probing patterns in traditional Indian recipes, in response to the first question, have led us to the discovery of a novel food pairing phenomenon in Indian cuisine. Our studies have revealed ‘culinary fingerprints’ of regional cuisines and role of spice as the molecular fulcrum of Indian recipes. Such data-driven explorations of food are opening new avenues for development of divergent applications in the domains of nutrition and health. One such direction is towards application of machine learning for ‘personalized nutrition’ that can potentially answer the second question, allowing us to leverage food as medicine.
How to Become a Thought Leader in Your NicheLeslie Samuel
Are bloggers thought leaders? Here are some tips on how you can become one. Provide great value, put awesome content out there on a regular basis, and help others.
How to Become a Thought Leader in Your NicheLeslie Samuel
Are bloggers thought leaders? Here are some tips on how you can become one. Provide great value, put awesome content out there on a regular basis, and help others.
In-silico study of ToxCast GPCR assays by quantitative structure-activity rel...Kamel Mansouri
The EPA tested several thousand chemicals in 700 toxicity-related in-vitro HTS bioassays through the ToxCast and Tox21 projects. However, the chemical space of interest for environmental exposure is much wider than this set of chemicals. Thus, there is a need to fill data gaps with in-silico methods, and quantitative structure-activity relationships (QSARs) are a cost effective approach to predict biological activity. The overall goal of this project was to use QSAR predictions to fill the data gaps in a larger environmental database of ~30K structures. The specific aim of the current work was to build QSAR models for multiple ToxCast assays using a subset of 1800 chemicals tested in 18 G-Protein Coupled Receptor (GPCR) assays. These assays are part of the aminergic category which was among the most active within the biochemical assays. Using PLSDA for the human histamine H1 GPCR assay, the classification accuracy reached 94% with a non-error rate of 89% in fitting and 80% in 5-fold CV, with only 2 latent variables. These results demonstrate the ability of QSAR models to predict bioactivity.
This presentation is about why work/culture or organisation culture is important. It talks indirectly about how organisational profit are dependent on the various factors of human behaviour and one needs to keep one self updated with gen x & Y and time
Design is as good (or flawed) as the people who make itKayla J Heffernan
Talk given at UX Australia 2016 held in Melbourne.
ABOUT THE TALK:
No one sets out to intentionally design a system that is hard to use for - or worse, excludes or discriminates against - some users. Designers are trying their best. You're probably a good person, but a human nonetheless, therefore not perfect. Design can only be as good as the people who make it. Conversely, design is as flawed as the people who make it.
ABOUT THE SPEAKER:
Kayla Heffernan is a user and experiencer of products, frustrated with mediocrity and a passionate advocate for the voice of all users. Kayla is a UX designer at SEEK and also undertaking a PhD in Interaction Design looking at digital insertables. In her spare time… she doesn’t have any.
Imagine a culture where the input of the whole organization turns an individual idea into a user story in just a couple of hours, where everybody's goal is to make the customer’s job easier and more effective, and where you work on projects you love instead of projects you loathe. A great coding culture concentrates on making developers productive and happy by removing unnecessary overhead, bringing autonomous teams together, helping the individual programmer to innovate, and raising awareness among developers about how to create better code.
I will talk about how to establish and foster a strong engineering-focused culture that scales from a small team to a huge organization with hundreds of developers. I'll give lots of examples from our experience at Atlassian to show that once you're working in a great coding culture, you won't want to work anywhere else.
https://www.youtube.com/watch?v=TAk04-_M-JM&feature=youtu.be
Intro to Biodesign: Working with Living ThingsLeticia Oxley
Introduction to principles of design done with biology. As designer seek new materials, biology may serve as both inspiration and a resource for new material practices. Likewise, as designers imagine new possibilities, designer may speculate where biology may take us with projects that approach design from a critical perspective.
Artificial Intelligence is the hot tech paradigm of the moment. It is the subject of a great deal of media hype, woes and mythologising. It seems worthwhile, therefore, to try to set the scene, look at some definitions, and see where it is currently being applied.
Not Dead Yet: Designing Great Experiences with Bad DataSonia Koesterer
By Sonia Koesterer
The world is imperfect. Every “happy path” intersects with dozens of crappy paths caused by typos, technical errors, and data that goes missing, is mis-assigned, adulterated, or is otherwise compromised/ stolen by evil data pirates. While you can’t prevent all data fails, you can avoid catastrophic failures, design graceful recoveries, and even turn the weakest points of your service into a strategic advantage. In short, you can create great services despite bad data.
The impact of data failure can be a humorous accident, minor inconvenience, or completely detrimental. For example, each year, the U.S. government falsely declares over 12,000 people dead due mostly to typos. In sheer percentage this is a rarity of a corner case of an edge case… but for those 12,000 individuals who suddenly lose their social security benefits, health insurance, bank accounts, and can’t easily prove they are alive, it’s catastrophic.
So design for the the edge-case! Understand the weakest points of your service, learn from them, and turn your failures into great experiences.
Artificial Intelligence is on the rise. Most of us do not understand the fundamental effects of AI, let alone the brain behind it. Let us build a grassroots movement and fight for transparent AI tech.
Vazamentos massivos nas redes sociais: quais medidas os usuários devem tomar?ESET Brasil
Realizamos uma pesquisa com os nossos usuários para obter informações sobre os vazamentos massivos nas redes sociais e as principais medidas tomadas ao se deparar com incidentes desse tipo. Confira um infográfico com os principais dados deixados pela pesquisa.
In-silico study of ToxCast GPCR assays by quantitative structure-activity rel...Kamel Mansouri
The EPA tested several thousand chemicals in 700 toxicity-related in-vitro HTS bioassays through the ToxCast and Tox21 projects. However, the chemical space of interest for environmental exposure is much wider than this set of chemicals. Thus, there is a need to fill data gaps with in-silico methods, and quantitative structure-activity relationships (QSARs) are a cost effective approach to predict biological activity. The overall goal of this project was to use QSAR predictions to fill the data gaps in a larger environmental database of ~30K structures. The specific aim of the current work was to build QSAR models for multiple ToxCast assays using a subset of 1800 chemicals tested in 18 G-Protein Coupled Receptor (GPCR) assays. These assays are part of the aminergic category which was among the most active within the biochemical assays. Using PLSDA for the human histamine H1 GPCR assay, the classification accuracy reached 94% with a non-error rate of 89% in fitting and 80% in 5-fold CV, with only 2 latent variables. These results demonstrate the ability of QSAR models to predict bioactivity.
This presentation is about why work/culture or organisation culture is important. It talks indirectly about how organisational profit are dependent on the various factors of human behaviour and one needs to keep one self updated with gen x & Y and time
Design is as good (or flawed) as the people who make itKayla J Heffernan
Talk given at UX Australia 2016 held in Melbourne.
ABOUT THE TALK:
No one sets out to intentionally design a system that is hard to use for - or worse, excludes or discriminates against - some users. Designers are trying their best. You're probably a good person, but a human nonetheless, therefore not perfect. Design can only be as good as the people who make it. Conversely, design is as flawed as the people who make it.
ABOUT THE SPEAKER:
Kayla Heffernan is a user and experiencer of products, frustrated with mediocrity and a passionate advocate for the voice of all users. Kayla is a UX designer at SEEK and also undertaking a PhD in Interaction Design looking at digital insertables. In her spare time… she doesn’t have any.
Imagine a culture where the input of the whole organization turns an individual idea into a user story in just a couple of hours, where everybody's goal is to make the customer’s job easier and more effective, and where you work on projects you love instead of projects you loathe. A great coding culture concentrates on making developers productive and happy by removing unnecessary overhead, bringing autonomous teams together, helping the individual programmer to innovate, and raising awareness among developers about how to create better code.
I will talk about how to establish and foster a strong engineering-focused culture that scales from a small team to a huge organization with hundreds of developers. I'll give lots of examples from our experience at Atlassian to show that once you're working in a great coding culture, you won't want to work anywhere else.
https://www.youtube.com/watch?v=TAk04-_M-JM&feature=youtu.be
Intro to Biodesign: Working with Living ThingsLeticia Oxley
Introduction to principles of design done with biology. As designer seek new materials, biology may serve as both inspiration and a resource for new material practices. Likewise, as designers imagine new possibilities, designer may speculate where biology may take us with projects that approach design from a critical perspective.
Artificial Intelligence is the hot tech paradigm of the moment. It is the subject of a great deal of media hype, woes and mythologising. It seems worthwhile, therefore, to try to set the scene, look at some definitions, and see where it is currently being applied.
Not Dead Yet: Designing Great Experiences with Bad DataSonia Koesterer
By Sonia Koesterer
The world is imperfect. Every “happy path” intersects with dozens of crappy paths caused by typos, technical errors, and data that goes missing, is mis-assigned, adulterated, or is otherwise compromised/ stolen by evil data pirates. While you can’t prevent all data fails, you can avoid catastrophic failures, design graceful recoveries, and even turn the weakest points of your service into a strategic advantage. In short, you can create great services despite bad data.
The impact of data failure can be a humorous accident, minor inconvenience, or completely detrimental. For example, each year, the U.S. government falsely declares over 12,000 people dead due mostly to typos. In sheer percentage this is a rarity of a corner case of an edge case… but for those 12,000 individuals who suddenly lose their social security benefits, health insurance, bank accounts, and can’t easily prove they are alive, it’s catastrophic.
So design for the the edge-case! Understand the weakest points of your service, learn from them, and turn your failures into great experiences.
Artificial Intelligence is on the rise. Most of us do not understand the fundamental effects of AI, let alone the brain behind it. Let us build a grassroots movement and fight for transparent AI tech.
Vazamentos massivos nas redes sociais: quais medidas os usuários devem tomar?ESET Brasil
Realizamos uma pesquisa com os nossos usuários para obter informações sobre os vazamentos massivos nas redes sociais e as principais medidas tomadas ao se deparar com incidentes desse tipo. Confira um infográfico com os principais dados deixados pela pesquisa.
share - Lions, tigers, AI and health misinformation, oh my!.pptxTina Purnat
• Pitfalls and pivots needed to use AI effectively in public health
• Evidence-based strategies to address health misinformation effectively
• Building trust with communities online and offline
• Equipping health professionals to address questions, concerns and health misinformation
• Assessing risk and mitigating harm from adverse health narratives in communities, health workforce and health system
DISSERTATION on NEW DRUG DISCOVERY AND DEVELOPMENT STAGES OF DRUG DISCOVERYNEHA GUPTA
The process of drug discovery and development is a complex and multi-step endeavor aimed at bringing new pharmaceutical drugs to market. It begins with identifying and validating a biological target, such as a protein, gene, or RNA, that is associated with a disease. This step involves understanding the target's role in the disease and confirming that modulating it can have therapeutic effects. The next stage, hit identification, employs high-throughput screening (HTS) and other methods to find compounds that interact with the target. Computational techniques may also be used to identify potential hits from large compound libraries.
Following hit identification, the hits are optimized to improve their efficacy, selectivity, and pharmacokinetic properties, resulting in lead compounds. These leads undergo further refinement to enhance their potency, reduce toxicity, and improve drug-like characteristics, creating drug candidates suitable for preclinical testing. In the preclinical development phase, drug candidates are tested in vitro (in cell cultures) and in vivo (in animal models) to evaluate their safety, efficacy, pharmacokinetics, and pharmacodynamics. Toxicology studies are conducted to assess potential risks.
Before clinical trials can begin, an Investigational New Drug (IND) application must be submitted to regulatory authorities. This application includes data from preclinical studies and plans for clinical trials. Clinical development involves human trials in three phases: Phase I tests the drug's safety and dosage in a small group of healthy volunteers, Phase II assesses the drug's efficacy and side effects in a larger group of patients with the target disease, and Phase III confirms the drug's efficacy and monitors adverse reactions in a large population, often compared to existing treatments.
After successful clinical trials, a New Drug Application (NDA) is submitted to regulatory authorities for approval, including all data from preclinical and clinical studies, as well as proposed labeling and manufacturing information. Regulatory authorities then review the NDA to ensure the drug is safe, effective, and of high quality, potentially requiring additional studies. Finally, after a drug is approved and marketed, it undergoes post-marketing surveillance, which includes continuous monitoring for long-term safety and effectiveness, pharmacovigilance, and reporting of any adverse effects.
NVBDCP.pptx Nation vector borne disease control programSapna Thakur
NVBDCP was launched in 2003-2004 . Vector-Borne Disease: Disease that results from an infection transmitted to humans and other animals by blood-feeding arthropods, such as mosquitoes, ticks, and fleas. Examples of vector-borne diseases include Dengue fever, West Nile Virus, Lyme disease, and malaria.
Rasamanikya is a excellent preparation in the field of Rasashastra, it is used in various Kushtha Roga, Shwasa, Vicharchika, Bhagandara, Vatarakta, and Phiranga Roga. In this article Preparation& Comparative analytical profile for both Formulationon i.e Rasamanikya prepared by Kushmanda swarasa & Churnodhaka Shodita Haratala. The study aims to provide insights into the comparative efficacy and analytical aspects of these formulations for enhanced therapeutic outcomes.
Muktapishti is a traditional Ayurvedic preparation made from Shoditha Mukta (Purified Pearl), is believed to help regulate thyroid function and reduce symptoms of hyperthyroidism due to its cooling and balancing properties. Clinical evidence on its efficacy remains limited, necessitating further research to validate its therapeutic benefits.
Knee anatomy and clinical tests 2024.pdfvimalpl1234
This includes all relevant anatomy and clinical tests compiled from standard textbooks, Campbell,netter etc..It is comprehensive and best suited for orthopaedicians and orthopaedic residents.
Basavarajeeyam is an important text for ayurvedic physician belonging to andhra pradehs. It is a popular compendium in various parts of our country as well as in andhra pradesh. The content of the text was presented in sanskrit and telugu language (Bilingual). One of the most famous book in ayurvedic pharmaceutics and therapeutics. This book contains 25 chapters called as prakaranas. Many rasaoushadis were explained, pioneer of dhatu druti, nadi pareeksha, mutra pareeksha etc. Belongs to the period of 15-16 century. New diseases like upadamsha, phiranga rogas are explained.
Adv. biopharm. APPLICATION OF PHARMACOKINETICS : TARGETED DRUG DELIVERY SYSTEMSAkankshaAshtankar
MIP 201T & MPH 202T
ADVANCED BIOPHARMACEUTICS & PHARMACOKINETICS : UNIT 5
APPLICATION OF PHARMACOKINETICS : TARGETED DRUG DELIVERY SYSTEMS By - AKANKSHA ASHTANKAR
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5. Why do we eat what we eat?
Why do we combine ingredients in
our recipes the way we do?
6. Cuisines: Traditional Recipes
A data and hypothesis oriented approach to food
The Molecular Essence
The quintessential molecular character
Exploiting patterns for health
Data-driven personalized food recommendation
9. 2543 Traditional Indian Recipes (TarlaDalal)
Regional cuisines: Bengali, Gujarati, Jain, Maharashtrian,
Mughlai, Punjabi, Rajasthani, South Indian.
10. Why do we combine ingredients in our recipes
the way we do?
11. Cuisines: Traditional Recipes
A data and hypothesis oriented approach to food
The Molecular Essence
The quintessential molecular character
Exploiting patterns for health
Data-driven personalized food recommendation
12. Food Pairing Hypothesis
Ingredients sharing flavor compounds are more likely to taste well
together than ingredients that do not.
𝑁𝑠 = 𝐹𝑖 ∩ 𝐹𝑗
𝐹𝑖
𝐹𝑗
Ahn et. al, “Flavor network and the principles of food pairing”, 1, 196, Scientific Reports (2011).
A Jain, NK Rakhi, G Bagler*, “Spices form the basis of food pairing in Indian cuisine”, arXiv:1502.03815 (2015).
17. Indian cuisine is
characterized with
contrasting food pairing.
more the extent of flavor sharing between any two
ingredients, lesser their co-occurrence
18. Contrasting Food Pairing
—at the level of ingredient pairs—
A Jain, NK Rakhi, G Bagler*, “Spices form the basis of food pairing in Indian cuisine”, arXiv:1502.03815 (2015).
19. A Jain, NK Rakhi, G Bagler*, “Spices form the basis of food pairing in Indian cuisine”, arXiv:1502.03815 (2015).
Contrasting Food Pairing
—at the level of cuisine—
20. A Jain, NK Rakhi, G Bagler*, “Spices form the basis of food pairing in Indian cuisine”, arXiv:1502.03815 (2015).
Contrasting Food Pairing
—at the level of sub-cuisines—
21. Indian cuisine is
characterized with
contrasting food pairing.
more the extent of flavor sharing between any two
ingredients, lesser their co-occurrence
22. A Jain, NK Rakhi & G Bagler,* “Analysis of Food Pairing in Regional Cuisines of India”, PLoS ONE, 10(10): e0139539(2015).
Culinary Fingerprinting of Regional Cuisines of India
23. A Jain, NK Rakhi, G Bagler*, “Spices form the basis of food pairing in Indian cuisine”, arXiv:1502.03815 (2015).
Spices are key to the food pairing in Indian cuisine
24. Positive (Uniform)Negative (Contrasting)
A Jain, NK Rakhi, G Bagler*, “Spices form the basis of food pairing in Indian cuisine”, arXiv:1502.03815 (2015).
Role of ingredients in biasing the food pairing
27. Discovery of the molecular essence of Indian cuisine & applications
Highlighted as an
Emerging Technology in
A Jain, NK Rakhi and G Bagler*, arXiv (2015); A Jain, NK Rakhi and G Bagler*, PLoS ONE (2015).
Best of 2015
MIT Technology Review
28.
29.
30. Cuisines: Traditional Recipes
A data and hypothesis oriented approach to food
The Molecular Essence
The quintessential molecular character
Exploiting patterns for health
Data-driven personalized food recommendation
34. Can we find scientific ways for altering diet
to improve health?
Personalized food recommendation
35. Levels of glucose in the blood are measured in terms of
“Postprandial Glycemic Response (PPGR)”.
Image Credits: HealthClinic
36.
37. Machine learning applied to multidimensional data
for personalized dietary recommendation
ED Sonnenburg and JL Sonnenburg, Nature, 528, 484 (Dec 2015).
Zeevi et al., “Personalized Nutrition by Prediction of Glycemic Responses”, Cell, 163, 1079-1094 (Nov 2015);
38. The discovery of a new dish confers
more happiness on humanity, than the
discovery of a new star.
Jean Anthelme Brillat-Savarin
“
”
as seen in IUCAA canteen circa 1998