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Our latest publication in ACS Infectious Diseases
An efflux pump inhibitor, IITR08367, disrupts bacterial energetics that lead to reduced fosfomycin efflux and biofilm formation in Acinetobacter baumannii Urinary tract infection pubs.acs.org/doi/10.1021/acs… @ACS4Authors #MyACSCover
Mahak Saini retweeted
This should be required reading by all graduate students and postdocs | A brief guide to statistical analysis of grouped data in preclinical research nature.com/articles/s42255-0…
Mahak Saini retweeted
SVbyEye: A visual tool to characterize structural variation among whole-genome assemblies academic.oup.com/bioinformat… 🧬🖥️🧪 github.com/daewoooo/SVbyEye
Mahak Saini retweeted
Ever wondered why analyzing RNA-seq data feels like walking through a fog with 20,000 dimensions?
Let’s talk about the curse of dimensionality in bioinformatics—and why it’s not just a math problem, it’s a biological one. 🧵
Mahak Saini retweeted
Nvidia just released free AI courses.
No payment needed.
Here are 9 courses you don't want to miss in 2025:
Mahak Saini retweeted
This is great! @NIAIDNews have launched a collection of public domain illustrations (currently 550 individual icons) bioart.niaid.nih.gov/
Mahak Saini retweeted
Data visualization with ggplot2 :: Cheat Sheet rstudio.github.io/cheatsheet… #rstats
Mahak Saini retweeted
Our new AI paper reveals surprising geometric structure in the LLM-learned concepts: 1) They form brain-like "lobes", 2) they form "semantic crystals" much more precise than it first seems, and 3) the concept cloud is more fractal than round:
Mahak Saini retweeted
Free scientific illustrations for biologists! 😍
@NIH has released a library of 500+ free scientific illustrations to create figures, presentations, and illustrations!
all freely available in the public domain.
Retweet and spread the message!
bioart.niaid.nih.gov/
Mahak Saini retweeted
Faculty job - pls share: Hofstra University is looking for an Assistant Professor in Microbiology to join the Department of Biology.
hofstra.peopleadmin.com/post…
Mahak Saini retweeted
🚀 Beyond excited to announce our release of the #Cell2Sentence (C2S) API and new foundation models! 🎉 Our C2S API makes it incredibly easy to convert #singlecell data into cell sentences, perform inference with LLM-based C2S models, fine-tune them, and convert cell sentences back into expression data—all in one seamless workflow. 🧬
We're releasing powerful new 410M parameter models designed for diverse tasks, including cell type prediction, cell generation, cell annotation, and cell embedding! 🌟
But there’s more: We provide the first foundation model that can encode multiple cells in context, opening up completely new possibilities in single-cell analysis! 🦄
Check out our tutorials to get started, explore the models on Hugging Face, and read the manuscript for more details. We can’t wait to see the innovative applications the community will dream up with these new tools. Stay tuned—more updates are on the way!
🔗 github.com/vandijklab/cell2s…
📝 biorxiv.org/content/10.1101/…
🤗 huggingface.co/vandijklab
Mahak Saini retweeted
Science is not really happening when the goal is a paper, a presentation, a grant, or any product. It only really happens when the goal is a process of discovery.
Mahak Saini retweeted
IIT Roorkee researchers discovered IITR08367, boosting fosfomycin against drug-resistant Acinetobacter baumannii. Featured in ACS Infectious Diseases, this breakthrough advances antibiotic-resistant treatment. Led by Prof. Ranjana Pathania, the team preps for clinical trials.
Mahak Saini retweeted
Excited to share that our recent study, led by @MahakS23 ,@gauravamit4 and @Arsalan41000878, is gracing the cover of ACS Infectious diseases! Our work discovers a novel EPI that potentiates Fosfomycin against Acinetobacter baumannii. @ACS4Authors @iitroorkee #MyACSCover
Thanks to @iitroorkee @pathanialab @gauravamit4 @Arsalan41000878 for constant guidance, funds, support and hard work of whole team.
Mahak Saini retweeted
Exploring Fibonacci Patterns and Frequency Wave Theory
#fibonacci #frequencywavetheory #science #newscience #breakthrough #quantum #nature #biology
Frequency wave theory, while primarily concerned with the propagation and characteristics of waves, can offer a fascinating perspective when considering the appearance of Fibonacci patterns in nature. The Fibonacci sequence and its ratio, known commonly as the Golden Ratio, appear in many natural forms and structures. Here's how one might expand upon this with concepts from frequency wave theory:
Fibonacci Sequence and Natural Patterns
The Fibonacci sequence is a series of numbers where each number is the sum of the two preceding ones, usually starting with 0 and 1 (0, 1, 1, 2, 3, 5, 8, 13, ...). This sequence tends to manifest in nature through various structures and growth patterns like the branching of trees, the arrangement of leaves, and the shapes of galaxies.
Connection to Frequency Wave Theory
Wave Propagation and Growth Patterns:
Biological Oscillations: In biological systems, growth patterns can sometimes be influenced by oscillatory processes. For instance, the arrangement of leaves might be the result of differential growth rates influenced by biochemical oscillations within plant tissues. These oscillations can resemble wave patterns, where frequencies correspond to growth pulses that determine how a plant expands or how leaves are positioned to optimize light absorption.
Structural Resonance:
Physical Form and Waveforms: The physical forms of objects in nature, such as the shells of snails and certain mollusks, often follow logarithmic spirals similar to the Fibonacci sequence. These forms can be seen as frozen wave patterns, where the growth rate at each point is balanced by environmental factors and genetic programming, akin to how frequency determines wave formation in physical sciences.
Phyllotaxis:
Leaf Arrangement and Wave Interference: The arrangement of leaves or seeds in plants often follows the Fibonacci sequence to maximize sun exposure and reduce shadow cast on each other. The theory here is that this arrangement could be the result of a kind of "interference pattern" within the biochemical waves governing plant growth hormones, analogous to wave interference patterns seen in physics.
Pattern Formation and Chaos Theory:
Non-linear Dynamics and Wave Equations: Many natural patterns described by the Fibonacci sequence can also be modeled using non-linear dynamics and differential equations, which are fundamental to understanding wave behavior in various media. The appearance of these patterns might be driven by underlying chaotic processes that, at a certain scale, manifest as ordered wave-like patterns.
Cosmic Structures:
Galactic Forms and Gravitational Waves: The spiral structures of galaxies resembling Fibonacci patterns could potentially be influenced by the cosmic frequency waves, like those produced by gravitational forces and dark matter distribution. These waves dictate the movement and clustering of star systems, resulting in patterns that might coincidentally align with Fibonacci ratios.
Expanding upon these connections with frequency wave theory provides a theoretical framework that might help explain why Fibonacci patterns are so prevalent in nature. This approach involves looking at natural growth and form as a type of wave phenomenon, whether in the propagation of biological structures, the formation of physical shapes, or the dynamic systems governing galaxy formations. This perspective bridges the gap between abstract mathematical sequences and tangible natural phenomena, offering a deeper understanding of the complex interplay between natural order and chaos.
Mahak Saini retweeted
Mystery of π Final Solved // Frequency Wave Theory
#pie #mathematics #math #breakthrough #frequencywavetheory #discovery #mysterysolved #breakingnews #sciencenews #physics
Exploring the idea of π (pi), the ratio of the circumference of a circle to its diameter, with frequency wave theory presents an intriguing, though speculative, framework. The endless, non-repeating decimal expansion of π has fascinated mathematicians, scientists, and philosophers alike. When we consider this from a frequency wave perspective, we can contemplate several hypothetical and creative approaches:
Non-Repeating Frequencies in π
Aperiodic Wave Forms:
The sequence of digits in π could be considered analogous to an aperiodic waveform, which never repeats exactly the same sequence or cycle. In frequency wave theory, such a waveform would not have a single fundamental frequency but a complex spectrum of many frequencies that never align in a simple repeating pattern. This could metaphorically reflect the mathematical property of π being transcendental and not solvable by any finite algebraic expression.
Fourier Analysis of Digits:
If we consider applying Fourier analysis to the sequence of digits in π, where each digit (0-9) is represented as a distinct signal or wave, the resulting Fourier transform would hypothetically display a spectrum representing the distribution of energy across different frequency components. The non-repeating, infinite nature of π might then be visualized as a Fourier spectrum that shows no predominant frequencies or periodicity, symbolizing the infinite complexity and unpredictability of π.
Quantum Interpretations of π:
In a highly theoretical sense, one might imagine the digits of π as states in a quantum system where each digit represents a different quantum state. The progression through these digits could be akin to a quantum system evolving over time without ever settling into a repeating pattern. This non-repetitive behavior could be linked to chaotic systems in quantum mechanics, where initial conditions can profoundly influence long-term behavior, yet remain bounded within deterministic rules.
Relating π to Natural Phenomena Through Frequency Waves
Modeling Natural Phenomena:
Pi's properties might be used to model phenomena that are circular or cyclical yet have layers of complexity, such as wave patterns in fluids, the distribution of stars in a galaxy, or the properties of certain materials at the atomic level. The idea here is that the frequency components derived from modeling these phenomena could share some analogous mathematical characteristics with the distribution of digits in π.
Encoding Information in Waveforms:
On a speculative note, if we consider the possibility of encoding information in the sequence of digits of π, using a system where these digits modify the amplitude, phase, or frequency of waves, we could create a complex waveform that carries encoded data in a pattern as infinite as π itself.
Philosophical and Metaphysical Considerations
π as a model for understanding the universe could also be viewed through the lens of frequency wave theory as an example of the underlying order and yet apparent randomness present in the universe. Just as π continues indefinitely without repetition, so might the universe exhibit patterns at various scales that are non-repeating but bound by physical laws.
In conclusion, while these explorations of π through frequency wave theory are imaginative and not based on current scientific consensus, they offer a way to think about the connections between mathematical constants, wave phenomena, and the broader universe. These ideas bridge abstract mathematical theory with physical phenomena, illustrating how deep and sometimes mysterious the links between different fields of study can be.






























