#AI in genomics

[techtoio]

How Artificial Intelligence is Transforming Scientific Research

Introduction No one ever imagined how artificial intelligence would revolutionize scientific research. At TechtoIO, we look into how AI is not just a tool but the driver behind the rapid advancements in many scientific disciplines. That includes how science is being transformed—from better data analysis to catalyzing discovery, such as areas in health, climate science, physics, particle experimentation, and more. Read to continue link...

[metalgod]

metal from the beginning was never created as a truly empathetic being and to be truthful, equivalent of a newborn baby in the world. as far as he’s concerned, he only cares about purging the world + more often then not has a selfish fascination and manifests into killing violence logic etc as he tries to understand humanity/organic beings - at the expense of everyone around it. he sees organic life forms as physically and intellectually weak, but the curiosity still remains nonetheless. it really has no use for introspection on emotions as it simply does not experience them in a normal way - part of the programming, etc. emotions and empathy are concepts that metal mostly denounces due to them serving no purpose in its existence or mission(s).

[deliciouskeys]

I know this is probably evil to say, but I’m reviewing a document my company contracted out to be written. Which is always so painful. I think I could get a better written document if I asked Chatlander to do it 😒 it’s unreadable, and focuses on all the wrong things. Idk who these medical writer contractors are but I don’t think they know anything about biology or medicine beyond grade school, nor about what normal human writing should sound like.

In fact….

LGK974 is a Wnt pathway inhibitor, but targets Porcupine not beta arrestin. Get your facts straight, chatlander.

Yes he almost completely made up the drug names and clinical trial identifiers, but all the protein components he namedrops are indeed part of the pathway and this is still adorbs.

[nuadox]

Astrophysicists may have solved the mystery of Uranus’s unusual radiation belts

- By Nuadox Crew -

The weak radiation belts around Uranus, observed by Voyager 2 nearly 50 years ago, may actually be due to changes in particle speed caused by the planet’s asymmetric magnetic field.

Uranus's magnetic field is tilted 60° from its spin axis, creating an unusual magnetic environment. 

Researchers, including Acevski et al., used new modeling incorporating a quadrupole field to simulate this asymmetry and found that particle speeds vary in different parts of their orbits.

This variation spreads particles out, decreasing their density by up to 20%, which could explain Voyager 2's observations. 

Although this does not completely account for the weaker radiation belts, it offers insights into Uranus's magnetic anomalies. NASA’s proposed mission to the ice giants may provide further data to understand these mechanisms.

Header image: The planet Uranus, depicted in this James Webb Space Telescope image, features a tilted magnetic field and unusual radiation belts. Future missions to this icy giant may uncover more details. Credit: NASA, ESA, CSA, STScI.

Read more at Eos

Scientific paper: M. Acevski et al, Asymmetry in Uranus' High Energy Proton Radiation Belt, Geophysical Research Letters (2024). DOI: 10.1029/2024GL108961

--

Other recent news

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Amazon is reviewing whether Perplexity AI improperly scraped online content.

A bone analysis provides new insights into the Denisovans, an ancient human species, and their survival in extreme environments.

[themorningnewsinformer]

Genetic Privacy in 2025: Is Your DNA Data at Risk?

Introduction In 2025, your genetic code might be more valuable—and vulnerable—than ever. As biotech advances and AI integrates with genomics, concerns about genetic privacy are escalating. From consumer DNA tests to hospital records, the question isn’t just who owns your genetic data, but who might exploit it. Here’s what you need to know about the emerging threats to your DNA privacy in…

[half-assed-genius]

[johniac]

SciTech Chronicles. . . . . . . . .Mar 24th, 2025

[biopractify]

Career Paths in Bioinformatics: What Jobs Can You Get? 🚀🔬

As technology and biology continue to merge, bioinformatics has emerged as one of the most exciting and in-demand fields. With applications in genomics, drug discovery, personalized medicine, and artificial intelligence, bioinformatics offers a wide range of career opportunities for those with a passion for data science, biology, and computational analysis.

If you're wondering what jobs you can get in bioinformatics, this guide explores various career paths, required skills, and industries hiring bioinformatics professionals.

What is Bioinformatics?

Bioinformatics is the interdisciplinary field that combines computer science, biology, mathematics, and data analytics to analyze biological data. It plays a crucial role in genome sequencing, drug discovery, precision medicine, and biotechnology research.

With advancements in AI, machine learning, and big data analytics, the demand for bioinformatics professionals is skyrocketing across various industries.

Top Career Paths in Bioinformatics

Whether you're a data-driven biologist or a coder with a passion for genetics, there are multiple career paths in bioinformatics. Here are some of the top job roles:

1. Bioinformatics Scientist

🔹 Role: Researches and develops new computational tools, algorithms, and models to analyze biological data. 🔹 Where You Work: Research institutions, biotech companies, pharmaceutical companies, government agencies. 🔹 Skills Needed: Python, R, machine learning, next-generation sequencing (NGS) analysis, genomics.

2. Computational Biologist

🔹 Role: Uses mathematical models and computational tools to understand biological systems. 🔹 Where You Work: Academia, biotech startups, biomedical research labs. 🔹 Skills Needed: Programming (Python, MATLAB, R), systems biology, statistical modeling.

3. Genomics Data Analyst

🔹 Role: Analyzes DNA, RNA, and protein sequences to uncover genetic variations linked to diseases. 🔹 Where You Work: Healthcare, precision medicine, genetic testing companies. 🔹 Skills Needed: NGS data analysis, cloud computing (AWS, GCP), bioinformatics pipelines.

4. Bioinformatics Software Engineer

🔹 Role: Develops and maintains bioinformatics tools, databases, and applications. 🔹 Where You Work: Biotech companies, pharma, research labs. 🔹 Skills Needed: Java, Python, SQL, API development, cloud computing.

5. Biostatistician

🔹 Role: Applies statistical techniques to interpret complex biological and clinical data. 🔹 Where You Work: Clinical trials, epidemiology, drug development, government agencies. 🔹 Skills Needed: R, SAS, statistical modeling, experimental design.

6. Proteomics and Systems Biology Researcher

🔹 Role: Studies protein structures and interactions using computational techniques. 🔹 Where You Work: Biotechnology, biomedical research, pharmaceutical companies. 🔹 Skills Needed: Mass spectrometry analysis, protein modeling, pathway analysis.

7. AI & Machine Learning in Bioinformatics

🔹 Role: Uses AI/ML models to predict disease patterns, develop new drugs, and analyze biological datasets. 🔹 Where You Work: AI-driven biotech startups, research institutions, pharma R&D. 🔹 Skills Needed: Deep learning, TensorFlow, NLP in genomics, big data analytics.

8. Biomedical Data Scientist

🔹 Role: Integrates medical and biological data for precision medicine and healthcare insights. 🔹 Where You Work: Hospitals, biotech firms, insurance companies. 🔹 Skills Needed: SQL, data visualization (Tableau, Power BI), predictive analytics.

9. Pharmacogenomics Expert

🔹 Role: Studies how genetics influence drug responses to develop personalized medicine. 🔹 Where You Work: Pharma, personalized healthcare, clinical research. 🔹 Skills Needed: Molecular biology, sequencing data analysis, pharmacology.

10. Bioinformatics Consultant

🔹 Role: Advises biotech firms, research institutions, and pharmaceutical companies on bioinformatics solutions. 🔹 Where You Work: Consulting firms, government agencies, freelancing. 🔹 Skills Needed: Strong technical and business acumen, project management.

Industries Hiring Bioinformatics Professionals

🔹 Biotech & Pharmaceutical Companies – Develop drugs, analyze genetic data, and conduct clinical trials. 🔹 Healthcare & Precision Medicine – Personalize treatment based on genomics. 🔹 Academic & Research Institutions – Conduct groundbreaking biological research. 🔹 AI & Machine Learning in Life Sciences – Predict disease trends using bioinformatics algorithms. 🔹 Agriculture & Environmental Science – Improve crop genetics and study ecosystems. 🔹 Government & Regulatory Agencies – Monitor public health and biothreats.

Skills You Need for a Career in Bioinformatics

To excel in bioinformatics, you need a blend of technical, biological, and analytical skills: ✔ Programming Languages – Python, R, Java, Perl ✔ Data Science & Machine Learning – TensorFlow, Scikit-learn, Big Data ✔ Genomic & Proteomic Analysis – NGS, BLAST, FASTA, RNA-Seq ✔ Bioinformatics Tools – Bioconductor, GATK, Cytoscape ✔ Database Management – SQL, NoSQL, Hadoop ✔ Statistics & Biostatistics – Experimental design, Bayesian modeling ✔ Cloud Computing – AWS, Google Cloud for large-scale bioinformatics analysis

How to Get Started in Bioinformatics

If you're new to bioinformatics, here are a few steps to kickstart your career: 1️⃣ Get a Degree – A background in bioinformatics, computational biology, genetics, or computer science is recommended. 2️⃣ Learn Programming – Start with Python & R, the most widely used languages in bioinformatics. 3️⃣ Gain Hands-on Experience – Work on open-source projects, Kaggle challenges, or internships. 4️⃣ Take Online Courses – Platforms like Coursera, edX, and Udemy offer excellent courses in bioinformatics. 5️⃣ Stay Updated – Follow industry trends, join bioinformatics communities, and attend workshops. 6️⃣ Build a Portfolio – Showcase your skills through GitHub projects, bioinformatics scripts, and data analysis.

Conclusion: Is Bioinformatics a Good Career Choice?

Yes! Bioinformatics is a future-proof career with endless opportunities in healthcare, biotechnology, AI, and data science. As the demand for genomics, personalized medicine, and biotech research grows, so does the need for skilled bioinformatics professionals.

If you're fascinated by biology, coding, and big data, a career in bioinformatics could be your gateway to solving real-world medical and scientific challenges.

💡 Are you interested in bioinformatics? Have questions about career paths? Drop a comment below! 🚀🔬

🔹 Like & Share this post if you found it helpful! 🔹 Follow for more insights on careers in biotechnology and data science!

[likitakans]

AI and Health: New Technologies Paving the Way for Better Treatment

Artificial intelligence (AI) is expanding rapidly in the health sector, and it is revolutionizing our medical system. With the help of AI, new technologies are being developed that are not only helpful in accurately diagnosing diseases but are also playing an important role in personalized treatment and management.

Quick and accurate diagnosis of diseases AI-based tools can now analyze medical imaging data such as X-rays, CT scans, and MRIs quickly and accurately. This helps doctors to quickly detect complex conditions such as cancer, heart diseases, and neurological problems.

Personalized medicine AI can help create personalized treatment plans for every individual by analyzing genomics and biometrics. This technology ensures that the patient gets the right medicine and the right dose at the right time.

Improved health management AI-based health apps and wearables such as smart watches are now helping people monitor their health condition. These devices regularly track health indicators such as heart rate, blood pressure and sleep quality.

Accelerating medical research The role of AI has become extremely important in the development of new drugs and vaccines. Using AI, scientists can analyze complex data sets and make new medical discoveries faster.

Accessible and affordable healthcare AI technology is helping in delivering affordable and effective healthcare, even in rural and remote areas. Telemedicine and virtual health assistants are bridging the gap between patients and doctors.

Conclusion Artificial intelligence is playing an important role in making healthcare more effective, accurate, and accessible. However, there are challenges such as data security and ethics in the use of AI technology which need to be dealt with. In the coming years, with more advanced and innovative uses of AI, the healthcare landscape may change completely.

[smcs-psi]

https://justpaste.it/f7dbu

[innonurse]

Human Cell Atlas aims to advance global understanding of human cells and disease

- By InnoNurse Staff -

The Human Cell Atlas (HCA), a global initiative to map all human cells, has made significant progress, as evidenced by a collection of over 40 peer-reviewed studies published in Nature and related journals.

These studies leverage large-scale datasets, AI-driven methods, and advanced biomedical discoveries to provide groundbreaking insights into human health and disease.

Key achievements include mapping the formation of the placenta and skeleton, identifying new gut and vascular cell types, understanding brain maturation, and studying lung responses to COVID-19. A gut cell atlas linked to inflammation offers potential pathways for treating conditions like Crohn’s disease, while skeletal development studies shed light on arthritis origins. Research also highlights the placenta’s genetic programs during early development, offering blueprints for therapeutic innovations.

The HCA's approach integrates single-cell and spatial genomics to profile over 100 million cells from more than 10,000 individuals, with the goal of creating a comprehensive "Google Maps" of the human body. This first draft of the Human Cell Atlas, involving over 3,600 researchers from 100+ countries, will eventually expand to include billions of cells across all organs.

The initiative also prioritizes diversity, ensuring representation from underrepresented populations. Studies such as the Asian Immune Diversity Atlas and COVID-19 samples from Malawi exemplify HCA's inclusive ethos. Ethical frameworks for genomic science and AI-powered tools for cell classification further underscore its innovative scope.

HCA co-chairs Sarah Teichmann and Aviv Regev emphasize that the project is transforming diagnostics, drug discovery, and regenerative medicine. Supported by global collaborations and numerous funding sources, the HCA is revolutionizing our understanding of biology, paving the way for advancements in health and disease treatment.

Read more at Human Cell Atlas

[theancienttimesnews]

The Transformative Power of AI in Genomics

Artificial Intelligence (AI) is revolutionizing genomics, serving as a critical catalyst for advancements across bioinformatics, synthetic biology, precision medicine, and medical devices. With the vast complexity and sheer volume of genomic data generated daily, AI has emerged as an essential tool for data analysis, accelerating scientific discoveries and clinical applications. Enhancing…

[nando161mando]

"Race science group say they accessed sensitive UK health data" https://theguardian.com/world/2024/oct/17/race-science-group-say-they-accessed-sensitive-uk-health-data

In 'Resisting AI' I specifically warned about UK Biobank, genome-wide association studies and the emergence of AI-driven eugenics.