#machine learning and bioinformatics

[smcs-psi]

Smcs- psi is Best machine learning company

SMCS-Psi Pvt. Ltd. is poised to make a significant impact in the field of genomics services for bioinformatics applications. By leveraging the latest advancements in bioinformatics, the company is dedicated to providing its clients with comprehensive and reliable services that will unlock new frontiers in scientific research and medical breakthroughs. Smcs- psi is Best machine learning company

View More at: https://www.smcs-psi.com/

[kamalkafir-blog]

Principal Test Equipment Engineer

Job title: Principal Test Equipment Engineer Company: Leonardo Job description: defence and aerospace projects in the UK? If you like the sound of developing test equipment for projects such as the SAAB… Gripen jet, then Leonardo would like to hear from you. We are looking for an experienced Principal Test Equipment Engineer… Expected salary: Location: Edinburgh Job date: Sun, 29 Jun 2025…

[hotzimbabwejobs]

Harness the Power of Data in Agriculture: Data Science Lecturer/Professor Opportunities at NUST! - March 2025

The National University of Science and Technology (NUST) is seeking passionate and experienced academics to join their Faculty of Agricultural Science and Technology as Lecturers/Senior Lecturers/Associate Professors in Agricultural Information Technology, specifically focusing on Data Science! If you’re excited about applying data-driven solutions to agricultural challenges, this is a fantastic…

[mehmetyildizmelbourne-blog]

Why I Believe AlphaFold 3 is a Powerful Tool for the Future of Healthcare

Insights on a groundbreaking artificial intelligence tool for health sciences research Dear science and technology readers, Thanks for subscribing to Health Science Research By Dr Mike Broadly, where I curate important public health content. A few months ago, I wrote about AlphaFold 3, a groundbreaking AI tool that helps scientists understand protein structures, which are essential for…

[airises]

"Revolutionizing Biotech: How AI is Transforming the Industry"

The biotech industry is on the cusp of a revolution, and Artificial Intelligence (AI) is leading the charge. AI is transforming the way biotech researchers and developers work, enabling them to make groundbreaking discoveries and develop innovative solutions at an unprecedented pace. “Accelerating Scientific Discovery with AI” AI is augmenting human capabilities in biotech research, enabling…

[lonelydipshit]

Ok but like… I hate to be that guy, but R has libraries for literally everything data sci/stats related you could need. I was doing stats hw earlier, (yes I know general stats isn’t exactly the same as bio informatics) and for literally every problem, the solution was literally 1 line of R code, and it took like 2 mins to identify the proper function and apply it.

I'm the best language for bioinformatics and if you even mention R I will murder you in your sleep

[biopractify]

Free online courses for bioinformatics beginners

🔬 Free Online Courses for Bioinformatics Beginners 🚀

Are you interested in bioinformatics but don’t know where to start? Whether you're from a biotechnology, biology, or computer science background, learning bioinformatics can open doors to exciting opportunities in genomics, drug discovery, and data science. And the best part? You can start for free!

Here’s a list of the best free online bioinformatics courses to kickstart your journey.

📌 1. Introduction to Bioinformatics – Coursera (University of Toronto)

📍 Platform: Coursera 🖥️ What You’ll Learn:

Basic biological data analysis

Algorithms used in genomics

Hands-on exercises with biological datasets

🎓 Why Take It? Ideal for beginners with a biology background looking to explore computational approaches.

📌 2. Bioinformatics for Beginners – Udemy (Free Course)

📍 Platform: Udemy 🖥️ What You’ll Learn:

Introduction to sequence analysis

Using BLAST for genomic comparisons

Basics of Python for bioinformatics

🎓 Why Take It? Short, beginner-friendly course with practical applications.

📌 3. EMBL-EBI Bioinformatics Training

📍 Platform: EMBL-EBI 🖥️ What You’ll Learn:

Genomic data handling

Transcriptomics and proteomics

Data visualization tools

🎓 Why Take It? High-quality training from one of the most reputable bioinformatics institutes in Europe.

📌 4. Introduction to Computational Biology – MIT OpenCourseWare

📍 Platform: MIT OCW 🖥️ What You’ll Learn:

Algorithms for DNA sequencing

Structural bioinformatics

Systems biology

🎓 Why Take It? A solid foundation for students interested in research-level computational biology.

📌 5. Bioinformatics Specialization – Coursera (UC San Diego)

📍 Platform: Coursera 🖥️ What You’ll Learn:

How bioinformatics algorithms work

Hands-on exercises in Python and Biopython

Real-world applications in genomics

🎓 Why Take It? A deep dive into computational tools, ideal for those wanting an in-depth understanding.

📌 6. Genomic Data Science – Harvard Online (edX) 🖥️ What You’ll Learn:

RNA sequencing and genome assembly

Data handling using R

Machine learning applications in genomics

🎓 Why Take It? Best for those interested in AI & big data applications in genomics.

📌 7. Bioinformatics Courses on BioPractify (100% Free)

📍 Platform: BioPractify 🖥️ What You’ll Learn:

Hands-on experience with real datasets

Python & R for bioinformatics

Molecular docking and drug discovery techniques

🎓 Why Take It? Learn from domain experts with real-world projects to enhance your skills.

🚀 Final Thoughts: Start Learning Today!

Bioinformatics is a game-changer in modern research and healthcare. Whether you're a biology student looking to upskill or a tech enthusiast diving into genomics, these free courses will give you a strong start.

📢 Which course are you excited to take? Let me know in the comments! 👇💬

[philosophiesde]

Zoomposium with Dr. Gabriele Scheler: “The language of the brain - or how AI can learn from biological language models”

In another very exciting interview from our Zoomposium themed blog “#Artificial #intelligence and its consequences”, Axel and I talk this time to the German computer scientist, AI researcher and neuroscientist Gabriele Scheler, who has been living and researching in the USA for some time. She is co-founder and research director at the #Carl #Correns #Foundation for Mathematical Biology in San José, USA, which was named after her famous German ancestor Carl Correns. Her research there includes #epigenetic #influences using #computational #neuroscience in the form of #mathematical #modeling and #theoretical #analysis of #empirical #data as #simulations. Gabriele contacted me because she had come across our Zoomposium interview “How do machines think? with #Konrad #Kording and wanted to conduct an interview with us based on her own expertise. Of course, I was immediately enthusiastic about this idea, as the topic of “#thinking vs. #language” had been “hanging in the air” for some time and had also led to my essay “Realists vs. nominalists - or the old dualism ‘thinking vs. language’” (https://philosophies.de/index.php/2024/07/02/realisten-vs-nominalisten/).

In addition, we often talked to #AI #researchers in our Zoomposium about the extent to which the development of “#Large #Language #Models (#LLM)”, such as #ChatGPT, does not also say something about the formation and use of language in the human #brain. In other words, it is actually about the old question of whether we can think without #language or whether #cognitive #performance is only made possible by the formation and use of language. Interestingly, this question is being driven forward by #AI #research and #computational #neuroscience. Here, too, a gradual “#paradigm #shift” is emerging, moving away from the purely information-technological, mechanistic, purely data-driven “#big #data” concept of #LLMs towards increasingly information-biological, polycontextural, structure-driven “#artificial #neural #networks (#ANN)” concepts. This is exactly what I had already tried to describe in my earlier essay “The system needs new structures” (https://philosophies.de/index.php/2021/08/14/das-system-braucht-neue-strukturen/).

So it was all the more obvious that we should talk to Gabriele, a proven expert in the fields of #bioinformatics, #computational #linguistics and #computational #neuroscience, in order to clarify such questions. As she comes from both fields (linguistics and neuroscience), she was able to answer our questions in our joint interview. More at: https://philosophies.de/index.php/2024/11/18/sprache-des-gehirns/

or: https://youtu.be/forOGk8k0W8

[smcs-psi]

Smcs- psi is Best Smcs- psi is Best large machine learning datasets

SMCS-Psi Pvt. Ltd. is poised to make a significant impact in the field of genomics services for bioinformatics applications. By leveraging the latest advancements in bioinformatics, the company is dedicated to providing its clients with comprehensive and reliable services that will unlock new frontiers in scientific research and medical breakthroughs. Smcs- psi is Best Smcs- psi is Best large machine learning datasets

View More at: https://www.smcs-psi.com/

[felixcloud6288]

are you a math teacher?? i thought you were, like, 14?????

I'm actually working toward a PhD in bioinformatics and machine learning. I'm working as a Teaching Assistant for a Discrete Mathematics course at the University as part of my tuition coverage.

What made you think I'm 14?

[kamalkafir-blog]

Product Development Technologist

Job title: Product Development Technologist Company: Edgewell Personal Care Job description: . Product Development Technologist 5553 Permanent, Full time (Hybrid Working) Central London Introducing Bulldog Skincare… future. We are now looking for a New Product Development Technologist to play a key role in this exciting period… Expected salary: Location: London Job date: Wed, 21 May 2025 22:44:50…

[hotzimbabwejobs]

Shape the Future of AgTech: Computer Science Lecturer/Professor Opportunities at NUST! - March 2025

The National University of Science and Technology (NUST) is seeking dynamic and experienced academics to join their Faculty of Agricultural Science and Technology as Lecturers/Senior Lecturers/Associate Professors in Agricultural Information Technology, specifically focusing on Computer Science! If you’re passionate about bridging the gap between agriculture and technology, this is an exciting…

[sciencestyled]

A Stake in the Code: Van Helsing's Wild Foray into Bioinformatics

Let me tell you, dear students, about the day I discovered that monsters don’t always lurk in dark castles or foggy graveyards. Sometimes, the most sinister creatures hide in something far more diabolical—data. Yes, you heard me right. While you imagine your brave professor charging through the night, crucifix in one hand, holy water in the other, you must now picture me hunched over a glowing screen, battling spreadsheets and strings of code. How did it come to this, you ask? Well, sit tight, for this tale involves an unfortunate encounter with a conference on modern science, an espresso machine with a grudge, and, of course, Dracula.

It all began when I was invited—lured, more like—to a prestigious science symposium. A splendid opportunity to expose these modern "men of logic" to the perils of the undead, I thought. Instead, I was met with a barrage of jargon, acronyms, and more slides of molecular models than I’d care to recount. I made it through the first day, my senses numbed by an endless stream of buzzwords—"genomics," "data analysis," and, shudderingly, "algorithms." Oh, the horror! I was sure that even a vampire bat would be driven to stake itself in frustration.

However, my despair peaked during a presentation by a rather excitable researcher on a topic called "bioinformatics." Now, I had no idea what kind of nefarious creature this was, but the term "bio" immediately set off my vampire-hunting instincts. Perhaps this was some new breed of blood-sucking pestilence? The researcher, with the fervor of a man possessed, prattled on about deciphering genomes, comparing them to vast tomes of knowledge that could predict diseases, track mutations—essentially, the modern-day grimoire of disease.

I tried to stay awake by guzzling coffee—until the machine itself turned on me. One ill-timed splutter, and I was doused in scorching liquid. As I wiped the caffeine from my waistcoat, it hit me: bioinformatics was a science of tracking. Not just tracking disease, but tracking the malformations of life itself. It was a code, a pattern, a series of markers… much like the bite marks of our nocturnal enemies! If bioinformatics could trace illness, then surely it could predict vampirism—or at least explain why Dracula’s hair had the consistency of damp hay.

My interest piqued, I cornered the researcher after his talk. Through a series of incomprehensible diagrams, I learned that bioinformatics involved massive troves of genetic data, all neatly catalogued and ready to be mined for clues about humanity’s most terrifying afflictions. This was no mere science. This was a battlefield. And as we all know, I have never met a battlefield I didn’t like.

I had found a new crusade. In bioinformatics, I saw the potential to eradicate vampiric curses at their source—by identifying genetic markers long before the first fang ever punctures a jugular. Picture it: no more garlic garlands or holy water showers! Imagine a world where we can pinpoint who is destined to become a creature of the night with a simple blood test. No more guessing whether your charming neighbor is just a night owl or plotting your demise.

Of course, there were skeptics. My students, bless their skeptical hearts, scoffed. "But Professor," they cried, "surely science can’t predict something as mystical as vampirism?" To which I replied, "If it can decode the human genome, it can decode Dracula!" Armed with this newfound knowledge, I plunged headlong into the arcane realms of bioinformatics. Genomes, sequences, databases—they became my prey, and like any great hunter, I stalked them with unyielding determination.

Thus, I resolved to pen my insights. Not just for posterity, but as a rallying cry. For if we can battle genetic ghouls with modern science, perhaps we can rid the world of vampiric plagues once and for all. And so, dear students, I present to you my findings—my digital stake in the dark heart of bioinformatics. Let us see where this madness leads...

[innonurse]

Mark your calendar for these health tech conferences in 2024-2025

- By InnoNurse Staff -

Interested in health technology-related events for fall 2024 and 2025? Fierce Healthcare has compiled a list of key conferences, both virtual and in-person, scheduled for the upcoming seasons.

Read more at Fierce Healthcare

///

Other recent news and insights

Lapsi transforms the stethoscope into a health tracking data platform (TechCrunch)

UK: The Department of Health and Social Care set to review clinical risk standards for digital health technologies (Digital Health)

AI-based cancer test determines if chemotherapy is needed (The Financial Express)

New tool enhances microscopic imaging by eliminating motion artifacts (UC Berkeley/Tech Xplore)

Researchers integrate a fast optical coherence tomography system into neurosurgical microscopes (Optica)

AI model achieves clinical-expert-level accuracy in complex medical scans (UCLA/Medical Xpress)

Bioinformatics reveals the hidden prevalence of repeat expansion disorders (Queen Mary University of London/Medical Xpress)

Ultrasound detects 96% of ovarian cancers in postmenopausal women (University of Birmingham)

AI ‘liquid biopsies’ using cell-free DNA and protein biomarkers could improve early ovarian cancer detection (Johns Hopkins Technology Ventures)

Mammograms show potential for detecting heart disease (UC San Diego/Medical Xpress)

IMRT and proton therapy provide similar quality of life and tumor control for prostate cancer patients (American Society for Radiation Oncology/Medical Xpress)

Machine learning enhances MRI video quality (Graz University of Technology/Medical Xpress)

Robotic surgery for colorectal cancer reduces pain and accelerates recovery (Beth Israel Deaconess Medical Center)

Global human brain mapping project releases its first data set (Allen Institute)

AI could speed up PCR tests, aiding faster DNA diagnostics and forensics (Flinders University/Medical Xpress)

AI-powered apps may detect depression through eye snapshots (Stevens Institute of Technology/Medical Xpress)

[bpod-bpod]

Computing Kidneys

Analysing kidney biopsies using a novel approach with unsupervised machine learning algorithms accurately classifies chronic kidney disease and predicts future kidney function

Read the published research paper here

Image from work by Joonsang Lee and colleagues

Department of Computational Medicine and Bioinformatics and Department of Pathology, University of Michigan, Ann Arbor, MI, USA

Image originally published with a Creative Commons Attribution 4.0 International (CC BY 4.0)

Published in Scientific Reports, August 2023

You can also follow BPoD on Instagram, Twitter and Facebook