Comparative seed morphology in the genus Chlorophytum Ker Gawl. (Agavoideae, Asparagaceae) in India

Nalawade, A. S.; Bose, Animesh; Gurav, Rajaram V.

doi:10.1016/j.flora.2020.151723

Cited by 6 publications

(7 citation statements)

References 18 publications

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“…The process of inferring the functional gene content of a microbial community based on the taxonomic composition of that community is known as metagenomic prediction. This method yields extremely helpful insights on the metabolic capacities of the microbiome as well as the possible effects that the microbiome may have on the host [18,21].…”

Section: Predictive Modeling In Microbiota Researchmentioning

confidence: 99%

<strong>Artificial intelligence for Microbiota Analysis: Advances and Applications</strong>

Patil¹,

Singh²

2023

Preprint

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The body's billions of bacteria—the microbiota—influence health and illness. The microbiome—the genetic material of these microbes—affects digestion, immunological function, and mental health. Due to bacterial variety, complicated relationships, and research technique constraints, investigating the microbiota is difficult. AI and machine learning have expanded microbiome research. Artificial intelligence (AI) systems can efficiently scan large microbiome datasets to help researchers understand microbial populations and their functions. AI-based predictive algorithms can analyze food impacts on microbial communities and forecast illness risks based on gut microbiota composition. AI helps find microbial biomarkers linked to specific health disorders, enabling early illness identification and targeted therapy. AI-driven medication development platforms also modulate microbiome to treat microbiota-related diseases. Understanding microbial populations' involvement in health and illness requires understanding complicated microbial interactions within the microbiome and between it and the host. AI systems improve human health by comprehending these complex relationships. AI in microbiota study must overcome various obstacles. Data quality and AI model interpretability are essential for accurate findings. Diverse and representative datasets avoid biases and strengthen AI-driven conclusions. AI in microbiota research requires data protection, informed permission, and appropriate use of sensitive data. AI is improving our understanding of the human microbiome and its health effects, changing microbiota research. Overcoming difficulties and adhering to ethical norms will enable the proper use of AI-driven findings, leading to microbiome insights and precision medical breakthroughs.

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Section: Predictive Modeling In Microbiota Researchmentioning

confidence: 99%

<strong>Artificial intelligence for Microbiota Analysis: Advances and Applications</strong>

Patil¹,

Singh²

2023

Preprint

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“…This helps us learn more about how children's social and mental growth works. Here are some important ways that AI helps us understand this [28][29][30][31]36 :…”

Section: Ai Impact On Children's Social and Emotional Skills Growthmentioning

confidence: 99%

“…Educational tools and systems that use AI are made to meet the specific needs of young learners, making their learning experiences better and helping them grow as a whole. This piece goes into detail about how AI is improving early childhood education and what that means for the future as [1][2][3][4][5]30 : 2…”

Section: Introductionmentioning

confidence: 99%

Improvements in Artificial Intelligence and Its Impact on Child Psychology

Patil¹,

Singh²

2023

Preprint

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Artificial Intelligence (AI) has become a hopeful tool for helping parents with different parts of raising children by giving them personalized tips, evidence-based methods, and timely solutions. This paper talks about the difficulties and possibilities of using AI to help parents. It also talks about the possible benefits and its impact on child psychology. There are a lot of ways that AI can help parents, from giving personalized advice that fits the needs of each family to intervening quickly when it spots early signs of developmental problems or parenting stress. AI makes it easier for parents to find tools, workshops, and interactive modules that are based on research. This gives parents the knowledge and trust they need to make choices about their child's growth that are based on facts. Also, AI-powered support can connect parents with similar problems, creating a sense of community and making it less embarrassing to ask for help with parenting or mental health. But there are a few problems that need to be carefully dealt with before AI can be used to help parents in a responsible and effective way. Data privacy and security are very important to protect families' safety and well-being. Important things to think about are the ethical use of data, transparency, and educated permission. Also, the accuracy and dependability of AI programs are very important when it comes to giving good advise and suggestions. To make sure everyone gets fair and equal help, efforts must be made to find and get rid of flaws. Also, AI shouldn't replace human sense and experience; it should add to them. When parents rely too much on AI, they might forget how important human contact and mental support are. To accommodate different parenting styles and views, it is important to be sensitive to culture and circumstances. In conclusion, AI-powered parenting support has a lot of promise to help parents be better parents and help children grow and learn. AI can be a useful tool for helping parents if it can solve problems related to data privacy, ethics, reducing bias, and working together with humans. Finding a balance between technology progress and human connection is important if AI is to be used to its fullest potential to give parents more power and help children grow in the best way possible.

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“…As research in this area gets better, more and more people are interested in the idea of making targeted treatments that change the gut bacteria to improve health. More and more people are looking at live probiotics, which are good bacteria, and prebiotics, which are fibres that can't be eaten but help good bacteria grow, as ways to support a healthy gut microbiome [10][11][12][13][14] .…”

Section: Balanced Bacteria In the Gutmentioning

confidence: 99%

Colon Cancer: Figuring Out the Complicated Link for Targeted Treatments Using Microbiota

Patil¹,

Singh²

2023

Preprint

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The gut microbiota's part in colon cancer has become an exciting and hopeful area of study because it shows complex links that affect how cancer starts, spreads, and responds to treatments. Dysbiosis, which is an imbalance in the community of germs in the gut, has been linked to a higher risk of colon cancer by causing inflammation and making a place where tumours can grow. Researchers have found that some kinds of bugs can either help colon cancer grow or stop it from doing so. This shows how important it is to maintain a healthy gut bacteria. In both preclinical and clinical research, therapeutic treatments that target the microbiome in the gut have shown promise. Probiotics and prebiotics can change the environment around a tumour, change the balance of microorganisms in the gut, and boost immune responses that fight the cancer. Faecal microbiota transfer (FMT) is being looked at as a new way to change the bacteria in the guts of people with colon cancer. By adding microbiota-targeted drugs to standard cancer treatments, it may be possible to make the treatment more effective and lessen side effects. Microbiota-focused treatments for colon cancer are still in their early stages, but they show promise. More research needs to be done to find out how they work and show that they work in the clinic. The link between the bacteria in the gut and colon cancer opens up new ways to help patients and give them better results. This might make a difference in how colon cancer is handled in the future.

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Comparative seed morphology in the genus Chlorophytum Ker Gawl. (Agavoideae, Asparagaceae) in India

Cited by 6 publications

References 18 publications

<strong>Artificial intelligence for Microbiota Analysis: Advances and Applications</strong>

<strong>Artificial intelligence for Microbiota Analysis: Advances and Applications</strong>

Improvements in Artificial Intelligence and Its Impact on Child Psychology

Colon Cancer: Figuring Out the Complicated Link for Targeted Treatments Using Microbiota

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