FDA 510K Clearance For Digital Pathology: What is it? What’s the process?
What is the FDA 510K clearance for a Software as a Medical Device (SaMD) for Digital Pathology? How does this compare to the IVDR/CE process in Europe?
Posts by Categories
Posts organized by Categories: Oncology, Technology and Data/AI/Machine-Learning
oncology
The Convergence of AI and Digital Biology
Enlightening discussion on the application of AI in three categories for drug development: Biomarker Target Modulation, Molecule generation and Clinical deve...
Lab Impact on Cancer Diagnosis and Treatment with Biomarker Tests
Focused particularly on NSCLC and Melanoma, a discussion on the huge shift towards biomarker testing for targeted therapies and immunotherapies.
5-year Progress in Digital Pathology
A retrospective over 5 years and prognosis for digital pathology.
FDA approves first T-cell therapy for a solid tumor
Using a tumor derived immunotherapy composed of a patient’s own disease-fighting white blood cells known as T-cells - specific type called tumor-infiltrating...
Unleashing CAR-T cell therapy for cancer
Dr. Carl June’s pioneering work in CAR-T cell therapy which builds up the human immune system to recognize cells gone rogue, i.e., cancer!
AI Revolution: Pathology and Genomics
Fascinating story of Dr. Daphne Koller on her journey from Stanford to founding Coursera to Insitro. Focus on early Biology and discovery using AI for the ca...
Embracing Opportunities And Driving Innovation At Proscia
Amanda Coble (Director of Product Management at Proscia) shares her amazing journey from pathologist assistant > LIS admin > building LIS products >...
Enhancing Healthcare Consistency using AI
Brilliant insights on AI in healthcare from Ajit Singh, PhD, Managing Director at Artiman Ventures, who shares learnings from his personal journey starting a...
AI In Pathology: What Could Possibly Go Wrong
Dr Levenson talks about his work in slide free imaging and it’s potential to significantly decrease turnaround time, while providing more information than th...
Book: Digital Pathology 101
Excellent overview of the vast landscape of digital pathology: Some history, benefits, Image Analysis and AI/ML.
What Is the Role of Digital Pathology in Clinical Trials
From disease staging to pathologic complete response assessments, pathology guides the way toward precision medicine and targeted therapies.
What is Translational Research in Digital Pathology?
An excellent podcast on how scientific discoveries are translated into clinical patient practice!
Introduction to AAMI TIR45: Agile Guidance in Medical Device Development
Agile can bring significant value to medical device software development and is supported by the FDA, regulators, and manufacturers alike. The key is to appl...
Prostate Cancer Diagnosis and Treatment
A discussion on Imaging based diagnostic and therapeutic strategies for Prostate Cancer including the use of AI. RSNA Podcasts
Spatial biology is lighting it up
The field of spatial biology is becoming a critical driver of life science discovery. For decades we knew that cancer tissue was heterogeneous, with some cel...
Trends in Digital Pathology
Great discussion on the “obvious” ROI for Digital Pathology based on Dr. Andrew Evans’ talk on the roll out of digipath for MacKenzie Health. Plus, the key r...
Image Analysis For Spatial Biology Challenges
A deep dive into the role of multiplex immunofluorescence for spatial biology and the interpretation of high dimensionality multimodal data. Digital Patholo...
Biomarker Discovery from Pathology Images
Automating the laborious data processes and speed up new drug and healthcare developments for precision medicine.
Segment Anything Model (SAM) for Digital Pathology: Assess Zero-shot Segmentation on Whole Slide Imaging
The results suggest that the zero-shot SAM model achieves remarkable segmentation performance for large connected objects. However, it does not consistently ...
ChatGPT and AI in Digital Pathology
Fascinating discussion about the potential benefits of LLMs like ChatGPT in pathology and AI in automating slide scanning including quality control.
The Benefits of Digital Pathology
Great perspective from Dr. Welch at Pathgroup that AI is THE business case for digitization of pathology and AI algorithms will be required for a lab to be s...
The Future of Breast Imaging
Great discussion about the role of AI in early detection of Breast Cancer using imaging. And the role of AI with horizontal healthcare data including radiolo...
The Role Of The Pathologist In Patient Care
Dr. Marilyn Bui, is a patient-focused pathologist and emphasizes the patient-centricity of pathology work. Dr. Bui believes that pathology and laboratory med...
The Future of Digital Pathology
Digital pathology is transforming the accessibility of decision rules and decision augmentation, creating translational assets and changing how clinical deve...
Beyond Innovation Digital Pathology: How To Lead?
Prof. Inti Zlobec (University of Bern) leads digital pathology and bridges the gap between pathologists, computer scientists, and data scientists. Digital P...
The Beginning Of Computational Pathology
Throughout the evolution of the field of computational pathology the focus has shifted from research-oriented work to direct collaboration with clinicians to...
AI/Machine Learning From a Pathology Industry Perspective
This podcast discusses the fundamentals of machine learning algorithm development from an industry perspective. Topics include choosing a project, defining h...
What is Microsatellite Instability (MSI) in Cancer?
With advances in immunotherapy, we know that if you have cancer with MSI (Micro Satellite Instability), even if it’s late stage, it has a good chance of resp...
The Regulatory Aspect of Digital Pathology and Translational Medicine
This podcast discusses the regulatory aspects of digital pathology and how it fits into translational medicine: The space between research and clinical use. ...
How does CAR-T Immunotherapy Work?
Article describes the advances in CAR T, a remarkable immunotherapy treatment dubbed a “living drug” and the foundations for understanding how CAR T works. ...
Experimental CRISPR Therapies
In the past decade, scientists are using CRISPR (Clustered Regularly Interspaced Short Palindromic Repeats) to edit cell genomes in multiple clinical trials ...
Doing More with Moore: Biotech’s Tech Moment
The modern biotech tech stack: For biotech companies, software is a means to an end—it’s science, not software, they seek to advance. As the need to analyze ...
Why Digital Pathology Will Be Mainstream Soon!
The value proposition: Consultation with colleagues instantly, sharing screenshots of the images, put pins, do annotations and share other metadata about the...
Immuno-oncology 101
A discussion of the immune system (Innate & Adaptive), the role of macrophages, dendritic cells, T-cells, B-cells and immune regulation. Finally, the use...
Molecular Feature Prediction Using H&E Slides
Is it possible to predict molecular biomarkers from H&E (Hematoxylin and Eosin) slides? Digital Pathology Today
Global Digital Pathology Task Force
Discussion on the state of Digitization of Pathology from presidents of digital pathology societies from 3 different continents. Includes some great advice f...
Colon Cancer Diagnosis Using Supervised Deep Learning AI Analysis
Dr. Pai from the Mayo Clinic discusses the supervised deep learning tissue image analysis model he developed to quantify visual features of colon cancer to p...
The Role for ChatGPT in Radiology
Amazing Podacat! The panel discusses the the ability of ChatGPT to be reasonably good at a variety of tasks like creating paragraphs for medical writing, can...
What is Cancer?
The 6 hallmarks for cancer: 1. They’re self-sufficient with growth signals 2. They’re insensitive to anti-growth signals. 3. They evade the immune system. 4....
AI in Digital Pathology and Good Machine Learning Practices
Dr. Ramamurthy shares his thoughts on digital pathology and artificial intelligence as a tool for clinical trials and discusses the need for more guidance on...
Pancreatic Cancer Detection With Deep Learning
An automatic end-to-end deep learning–based detection tool could detect pancreatic cancer on CT scans in a nationwide (Taiwan) real-world test data set with ...
Advancing The Field Of Immunotherapeutics
A discussion of the current challenges with immuno-oncology with limited targeted therapies and increasing those using newer tools! Bio Eats World
FDA Approved AI Algorithms for Healthcare
Radiology 396, Cardiology 58 and Hematology 14 lead the pack. FDA has now cleared more than 500 healthcare AI algorithms Healthcare Exec
RSNA Radiology AI Journal Trainee Review Board
Stumbled upon this podcast to train participants in the peer-review process for a Radiological Society of North America (RSNA) AI Journal. Great concept! RS...
Engineering T-Cells
To dramatically reduce costs off-the-shelf CAR-T cells. The off-the shelf path would preempt the very costly ($500,000) , laborious and time consuming work o...
Enterprise Digtial Pathology System
Building an Enterprise Digital Pathology operating system that is AI-computationally-native for Research, Diagnostics & Real-World-Data. StartupPhilly
What is DICOM For Digital Pathology?
A very timely and fascinating conversation on DICOM in Pathology supporting Whole-Slide-Images. Lots of details on image formats, metadata, viewers and APIs....
Computational Pathology and AI at the Mayo Clinic
The Chair of Computational Pathology & Artificial Intelligence at the Mayo Clinic (Dr. Hipp) discusses his journey through digital pathology and the role...
Image Analysis and AI in Pathology
How image analysis and artificial intelligence support digital pathology-enabled precision medicine today and what to expect in the future. AI Image Analysis
ICAIRD (Industrial Center for Artificial Intelligence Research & Digital Diagnostics
Dr. Garth Bryson and Dr. David Harrison, discuss ICAIRD (Industrial Center for Artificial Intelligence Research & Digital Diagnostics) - a program matchi...
AI Biomarker Predicts Immunotherapy Response For Lung Cancer
New AI-based biomarker can help predict immunotherapy response for patients with lung cancer. AI Biomarker Response For Lung Cancer
Intelligent Knife Tells Surgeon If Tissue Is Cancerous
The electrosurgical knife is connected to a mass spectrometer, an analytical instrument used to identify what chemicals are present in a sample. Different ty...
Digital Transformation In Clinical Pathology
Dr. Ralf Huss shares his view on why and how digital pathology should be implemented into clinical practice. Digital Pathology Transformation Clinical
Why and how should pathologists keep up with AI?
The role of artificial intelligence and why pathologists should embrace it in their work.
DICOM Standard for Pathology Imaging
Great podcast on the role of the DICOM - Digital Imaging and Communications in Medicine standard from Radioloty in Pathology.
The Molecular Biomarker Revolution in Metastatic NSCLC
Session from American Society for Clinical Pathology (ASCP) 2022 annual meeting discussing the latest on emerging Biomarkers, Immuno-oncology resistance mech...
Image Analysis and AI for Digital Pathology-enabled Precision Medicine
Enabling institutions to embark on the digital pathology journey in an incremental fashion would change the digital pathology landscape and significantly inc...
Digital Computational Pathology
Podcast discussing the benefits of digitizing pathology include unlocking value in the gigapixels of data from images to enable precision medicine combining ...
Colon Cancer Using Supervised Deep Learning AI/ML
Dr. Rishi Pai discusses the use of complex supervised deep learning tissue image analysis AI/ML model to quntify visual diagnostic features. Digital Patholo...
New immune therapy using TILs for advanced melanoma offers hope for hard-to-treat disease
“These are immune cells that are found in the tumor, trying to kill the tumor, but obviously not doing a good enough job because the tumor is growing,” said ...
Experimental CAR-T Cell Therapy Beats Leukemia
Amazing story: A T cell normally kills invaders, like viruses. Chimeric antigen receptor T (or CAR-T) cells had been modified in a lab to attack leukemia cel...
Single X-Ray Predicts 10-year Stroke/Heart-Attack using AI/ML
Researchers have developed a deep learning model that uses a single chest X-ray to predict the 10-year risk of death from a heart attack or stroke, stemming ...
New CRISPR T-cell based cancer treatment for Humans in Trial
New CRISPR cancer treatment tested in humans for first time One dose could potentially provide life-long protection against recurrence.
The Long Journey for Digital Pathology
Great podcast: Pathologist shortage (retirement and lower incoming rate), windshield time for remote on-location work and AI/ML will drive digitization!
Unified Diagnosis For Oncology
Breaking Down silos and Democratizing Access to Diagnostics: When will we have a Department of Diagnostic Medicine like in the TV series Dr. House? Will we a...
Critical Role of Regulatory Affairs in Digital Image Pathology
Bridging the Gap: The Critical Role of Regulatory Affairs and Clinical Affairs in the Total Product Life Cycle of Pathology Imaging Devices and Software.
Digitizing the Oldest Tissue Repository in the US
Discusses the Joint Pathology Center’s approximately 55 million glass tissue slides from more than a century ago! Amazing initiative that’s helping unlock th...
Evolution of Clinical Pathology In The Last Century
Discusses history and emergence of IHC, biomarkers and genomics. Plus, the inevitable switch of pathology to digital including AI. Finally, perhaps a future ...
Intersection of Genomics and Pathology
As the number of devices increases, the agency is looking to adapt its regulatory framework to the new technology, including faster approval of algorithm upd...
Third Wave of Imaging AI Evolution
We may be entering a third wave of imaging AI’s evolution, bringing a shift from narrow point solutions to comprehensive multi-finding AI systems.
Miraculous Breast Cancer Vaccine Passes First Human Trials
Miraculous breast cancer vaccine passes first human trials that went on for 20 years It is high time we killed the tumors.
The Crossroads between Immuno-Oncology and Digital Pathology
Discusses the crossroads of Immunoncology, digital pathology, image analysis, artificial intelligence, and the increasing ability to multiplex.
Digital Pathology: Image Management Platform
A Digital Pathology Image Management Platform needs to support computationally-native applications using open APIs with scalability and ergonomically centere...
AI in Radiology Predicts the Future of Cancer Risk
Application of AI in Radiology to predict cancer in the future based on past mammograms. AI In Radiology
DICOM Standard for Pathology Annotations
This podcast discusses the need for using the Dicom standard for annotations, not just the images! Makes even more sense with the advent of AI/ML. Also, some...
Immuno-oncology Basics And How Image Analysis Can Help
Enlightening podcast by Prof Elfriede Noessner of Visiopharm about Immuno-oncology: Tapping the immune system to fight cancer. The dynamic nature of the tumo...
Digital And Computational Pathology
Brilliant podcast the discusses the benefits of digitizing pathology: Including deriving value from the gigapixels of data in each image that enable precisio...
The New CPT Codes for Digital Pathology
Great podcast by Digital Pathology Today and Proscia co-founder Nathan Buchbinder discuss the new AMA/CPT (cat 3) codes for Digital Pathology. While this ste...
The Incredible Digital Transformation of the Region Skane in Sweden
Loved the practical idea of using the analog-microscope and digital in parallel with the ability to fetch glass slides in < 1 hour for a period of time. I...
Pathology Shift From Microscope to Digital
David West, Co-founder/CEO of Proscia talks about pathology’s shift from microscope to digital using software in the modern lab, the big data generated &...
technology
Founder Mode
Paul Graham’s blog discusses Founder mode versus Manager mode: What it takes to build a successful scalable company!
Google DeepMind’s new AlphaFold can model a much larger slice of biological life
The already amazing AlphaFold 2 AI system only knew about amino acids, but now, AlphaFold 3 can in principle predict where a drug binds to a protein!
Engineers and Tech Leaders Looking to Learn And Grow
Great perspective and advice for engineers and tech leaders on growing, learning and contributing!
How to Create a Culture Of Performance in Teams
A great episode on significantly accelerating innovation using “Tiger Teams”. An OKRs focus is not sufficient!
What is CORS?
An excellent explanation: Cross-origin resource sharing (CORS) is a mechanism for integrating applications. CORS defines a way for client web applications th...
Spatial Databases like PostGIS (extension to PostgreSQL) and other DBs
A great overview of use cases that inform the selection of databases including Spatial DBs (like the PostGIS extension to postgres).
Picking the right Database
An amazing review of use cases that inform the selection of databases: Relational(SQL-like), Key-Value (Redis), Document (Mongo), Time-Series (Prometheus), G...
Case Studies for Generative AI
Podcast on various use cases for Generative AI including translation, image processing and data engineering.
Data Scientist layoff: How to handle it?
Some real great and timely wisdom on what to do proactively and reactively!
The worlds she sees - Prof. Fei-Fei Li
The fascinating personal journey of one of the pioneers of visual AI. From immigrant beginnings to “CEO” of a laundromat to Professor at Stanford. Plus, the ...
WebGL and WebGPU
Gregg Tavares (author of WebGL/WebGPU Fundamentals) gives us a tour of these low-level technologies that are pushing the web forward into the world of video ...
Scaling Innovation
New idea generation methods need to look at innovation through the prisms of the individual, the team, and the organization.
Category Creating Products - Digital Enterprise Pathology Platform
Brilliant podcast on differentiating your SaaS offerings with category creating products: Digital Enterprise Pathology Platform (Open System).
How AI assistants are already changing the way code gets made
Code Whisperer: Those using Microsoft’s GitHub-Copilot AI assistant completed the task on average 55% faster.
Intro to Large Language Models (LLMs)
Intro-to-Large-Language-Models (LLMs): A behind-the-scenes look at Pre-training and Fine Tuning, practical mechanics of next-word-prediction by ChatGPT and t...
Preparing for LLMs
According to Albert, right now we’re both in the middle of an unprecedented hype cycle for LLMs and starting to witness a transformation as profound as that ...
The Reports of the death of Node.js is greatly exaggerated
Discussion around the evolution of node.js and emerging alternatives. Plus, optimizations required to scale node.js beyond its current capabilities.
GitHub Actions - A CI/CD (Continuous Integration/Continuous Deployment) Platform
GitHub Actions integrates nicely into GitHub.com and lets you define and automate software development workflows.
Opportunities in AI 2023
Brilliant video by Prof. Andrew Ng: An incredible teacher who takes complex subjects and makes them very simple to understand!
Will AI Kill Us All: With Marc Andreessen
AI has the potential to save the world — that’s the thesis of Marc’s most recent article (link in the episode website below)
How to build and organize a machine learning team
Explore the process of building an ML team, including reasons to build one and descriptions of the core roles of project manager, data engineer, data scienti...
Meta’s Open Source Llama2 Upsets the AI Horse Race
Meta is giving its answer to OpenAI’s GPT-4 away for free. The move could intensify the generative AI boom by making it easier for entrepreneurs to build pow...
The Two Sided Marketplace
A 2-sided marketplace relies on the “Flywheel Effect”: You need one side to build and feed the other side!
A Jargon-free Explanation of How AI Large Language Models Work
A brilliant explanation of LLMs: Including word-vectors, transformers comprising attention and feed-forward layers. Plus, some examples of early OpenAI GPT m...
LLAMA2: Overview of the Large Language Model (LLM)
LLAMA2 from Meta is an AI model (transformer neural network) developed using unsupervised learning with 2 trillion tokens with up 7 Billion parameters. LLA...
Biomarker Discovery From Pathology Images
Using AI/ML for automating microscopy image analysis using diverse data sets and validation for variability.
First AI Generated Drug Enters Human Trial
How fast is generative AI moving? The first fully A.I.-generated drug from Insilico Medicine enters clinical trials in human patients.
Radiology Board-Style Exam and ChatGPT
ChatGPT nearly passed a radiology board–style examination without images, highlighting the potential of large language models, but radiologists should be awa...
Accelerating Medicinal Chemistry
The application of Machine Learning to drug discovery by designing, making and testing molecules.
Failure: What is it good for? Absolutely Everything!
Instead of the typical blame game, Etsy decided to take a more empathetic, constructive approach. They recognized that mistakes and system failures were more...
Minimum Viable Continuous Delivery of Software
Best practices for continuous integration and delivery of software application code to production is discussed including the use of Trunk-Based-Development.
JSON versus XML
Loved this: Fascinating walk through history with the story of JSON, XML, SOAP, and Javascript is NOT Java!
Software Architecture: Microservices versus Monolithic - Which fits better?
Microservices architectures are more complex, however, more scalable to develop and deploy. A Monolithic architecture is simpler and easier to develop, deplo...
Generative AI: Oh God! What now?
Repetitive automatable jobs will disappear: Jobs with creative applications to complex workflows will thrive in the post-ChatGPT world!
Shift Left Security And DevSecOps To Protect Your Software Supply Chain
Security shouldn’t be an afterthought. Releasing code filled with exploits and bugs is a recipe for disaster. This is why more and more organizations are loo...
Impact of AI-Dev Tools on Javascript: See You Later Humans
A conversation around GitHub Copilot X and the latest AI tools for software development. Plus, TypeScript 5 & continue the debate about the future of Rea...
The Future of React
Excellent discussion about React’s place in the frontend ecosystem, Single Page Application fatigue to Server Components and the future of the framework.
Reverse Conway Org For Software Development
Excellent write up on using a “Reverse-Conway” maneuver to design your organization to meet the desired architecture for the business.
Docusaurus 2 for Documentation
Docusaurus is a static site generator that builds a single-page app with fast client-side navigation using React. It provides out of the box documentation fe...
Conway’s Law: The Little-known Principle That Influences Your Work More Than You Think
Conway’s Law is an IT theory created by computer scientist/programmer Melvin Conway in 1967. Conway’s Law states that “Organizations, who design systems, are...
Blockchain in Healthcare
DLT (Distributed Ledger Technology) leverages decentralized peer-to-peer computing and cryptography to verify and propagate a chain of transaction records ac...
The Magic of Monorepos
Monorepos are a way to manage and organize your code used for software projects together in whatever way you find to be most logically consistent, and not ju...
AWS-To-Go: Launching and Using Virtual Machines in Amazon Web Services (AWS)
Helpful guidelines for launching an AWS EC2 (Elastic Compute) virtual machine instance for running your applications.
The Rise and Fall of Javascript Frameworks
Large Javascript frameworks continue to dominate, will there be a trend towards smaller ones?
Designing Data-intensive Applications Using Multi-object Transactions
Challenges with multiobject data including ACID atomic transactions that guarantee atomicity and consistency.
Site Reliability Engineering and the Evolution of Automation
The evolution of Google’s automation for Site Reliability Engineering (SRE) for consistency, faster action and repairs.
Fighting Software Vulnerabilities With Software Bill of Materials (SBOM)
New requirements for software security recommend the use of Software Bill of Materials (SBOM) to track dependencies, vulnerabilities and software licensing.
Shifting Left On Security For Developers
Shifting left on security for software developers is critical for delivering high quality code. Both static and dynamic analysis tools are necessary. This po...
Software As a Medical Device (SaMD)
An excellent guide for Software as a Medical Device (SaMD): Guidelines for Categorization, Risk, Software Development Life Cycle, Verification and Validation...
Node.js Tutorial for Beginners
Good tutorial on node.js for beginners: Describes the “Single Threaded Event Loop” architecture of node: The Node.js processing model is based on the JavaScr...
Fostering a Learning Culture for Software Developers
People do mentor other people, they do support learning. And that is what creates 10x results in software development.
Using AI To Detect On Line Abuse
The tech team at LinkedIn working on protecting LinkedIn’s Members from bots and abusive scripted behavior, pioneering the use of deep learning to detect abu...
Anatomy of a Cyberattack
In October 2020, the University of Vermont Medical (UVM) Center fell victim to a cyberattack, and the leadership team intentionally shut down their system to...
A Software Code Review Checklist – Focus On These 10 Important Topics
A code review checklist, as well as clear rules and guidelines around code reviews, are crucial. A code review checklist can make your code review practice s...
ChatGPT’s Underlying AI Transformer Attention Model
The ChatGPT transformer is neural-network based with self-attention layers, allowing the model to weigh different words/phrases. See Vaswani et al. 2017 pape...
Making Security Easy For SW Developers
Embedding security analysis tools directly into the software developer’s workflow. “Shifting-Left” on security! Software Engineering Unlocked
How To Write Effective Tests to find Software Bugs
Effective testing, domain driven tests, writing testable code and maintainable test code. Software Engineering Unlocked
Collaborative Software Debugging
Collaborative software debugging tools to improve developer productivity and quality. Software Engineering Unlocked
Serverless Software Engineering on AWS (Amazon Web Services)
A practical guide for accelerating code to production using a serverless architecture and a Domain Driven Design (DDD) approach: Understand events, involve e...
Web Architecture 101
Excellent description of the basics of a typical web based system: DNS, Load Balancer, Web App Servers, Databases, Caching, Job Queues and Services, Search, ...
Learning CSS In 2023
Decent podcast on CSS in 2023. There is a nice discussion here on grid and flexbox with some ideas learning CSS in 2023! Enjoy
AI, No-code, & The End Of Software Development
The author didn’t write this story, an AI algorithm did…
Enable Live-reload on Docker-Based Applications with Docker Volumes
In this post you’ll learn how to configure a development environment with live-reload enabled. This will allow you to convert a legacy application so it uses...
Career Advancement As A SW Engineer
Great advice for software engineers from a perspective of culture, self-advocacy and mentorship.
Agile Scrum in A Software As A Medical Device Environment
How to incorporate Agile-Scrum in a Software-As-A-Medical device environment? Some ideas suggested: Follow agile-scrum within the overall release cycle re...
Container Registries: Amazon ECR, Docker Hub and GitHub Container Registry
Podcast discussing container registries: Amazon ECR, Docker Hub and GitHub’s container registry. Covers a few items: Immutable tag settings, Lifecycle manag...
Driving Innovation And Engineering Practices
Importance of Test Driven Development Balancing unit, integration and contract testing Pair programming
Software Branching and Source Control: GitFlow versus Trunk-Based-Development
Wonderful guidelines for selecting gitflow versus trunk-based-development for software code source control. Really depends on your team and business model. @...
Pager Duty: Security Training for Engineers
Security Guidelines: Prevention against Sql injection using Parametrized queries, ORM usage, sanitize inputs, and escaped inputs.
Google’s SRE (Site Reliability Engineering) Book: The 4 Golden Signals!
Great review of Google’s SRE book that includes the 4 golden signal’s. If you do noting else, monitor the following: Latency, Traffic (e.g. http requests per...
Twelve Factor App For Microservices-based Applications
This blog from NGNIX does a great job of adapting the Twelve-Factor App to suit microservices-based applications.
Improving code reviews with GitHub Copilot
Interesting podcast on the use of GitHub Copilot for code reviews!
Are Happy Engineers More Productive?
Happy developers are more productive. What makes them happy? To mention a few: Collaborative team, good manager, solid architecture and your personal impact ...
Software Reliability Engineering (SRE) and DevOps
High level: DevOps is more on the CI/CD side and SRE (Site Reliability Engineering) focused more on the operations side of the fence. Conway’s law applies, s...
Data/AI/Machine-Learning
Facebook/Meta SAM - Segment Anything AI/ML Model
Meta’s Segment Anything Model (SAM) is a new and open-source computer vision model for image segmentation. It is as revolutionary to images as ChatGPT is to ...
What Are Transformer AI/ML Models and How Do They Work?
Great Blog on how transfomers work. They are formed by several blocks, each one with its own function, working together to understand text and generate the n...
Five Mistakes to Avoid With AI/ML For Digital Pathology
The 5 mistakes to avoid while using Machine Learning for Digital Pathology: Not understanding your data, Not researching prior art carefully, Starting with a...
Real World Data: Unlocking The Power of Patient Insights
The use of Real World Data (RWD) to create targeted therapies for chronic conditions. Fascinating discussion about its ability to transform biopharma researc...
Using AlphaFold for 3D-Protein Models for targeted Nanosyringes
The research team used a newly released version of artificial intelligence software called AlphaFold (DeepMind/Google). AlphaFold predicts the three-dimensio...
Digital Pathology and AI is TODAY’s Pathology
There are plenty of indicators demonstrating the effectiveness of Digital Pathology (DP) and Augmented Intelligence (AI) on the modern Pathology practice. DP...
GPT-4 Technical Report
GPT-4 (Generative Pretrained Transformer) is the engine behind the latest version of ChatGPT and the updated Bing search engine from Microscoft. This Technic...
AI/Machine Learning and Image Analysis in Pathology
The intersection of image analysis, AI/Machine Learning and pathology! Methods and techniques to extract insights from image analysis.
Search, ChatGPT and Enterprise Search
An engineering founder shares his views on search and ChatGPT, plus the need for enterprise search. Fascinating journey from Silicon Valley to Telaviv to Ind...
Data Scientist Interview Trends
A data scientist turned career coach shares her personal journey to finding a job in this area and helping others find their path!
Robust AI Solutions for Whole Slide Images?
AI models can only reach their full potential if a few other key components are in place: 1) quality control, 2) generalizable models, and 3) proper validati...
Golden Age of AI and Neuroscience
Are we ready for Neuro-AI and Brain Computer Interfaces? The Data Scientist Show
Personal Journey of a Data Scientist
Personal journey towards Data Science and things that only 5 experienced data scientist know! The Data Scientist Show
AI Tool for Real Time Diagnosis During Surgery
The work shows that AI has the potential to make a time-sensitive, critical diagnosis easier and more accessible to pathologists.
AI/Machine Learning in Healthcare, How To Scale ML Solutions
Applying AI/ML in Healthcare and scalability of these solutions.
What is dbt? A Beginner’s Guide To The Next Big Thing In Data
Excellent overview of value proposition of dbt as a data-transform tool in an ELT process.
Data Driven Pathology
Discussion on the importance of quality control systems in an ML pipeline, model generalizability, and how the regulatory process affects ML development.
Acclerating AI Adoption in Healthcare
Using synthetic data and models to advance AI with innovative federated data models that balance privacy and availability
5 takeaways from the FDA’s list of AI-enabled medical devices
As the number of devices increases, the agency is looking to adapt its regulatory framework to the new technology, including faster approval of algorithm upd...
Weekly Supervised AI For Pathology
Interesting podcast focused on computational pathology using the semi and weakly supervised approaches with Whole Slide Images (WSI). It turns out that those...
Evolution from Image Analysis to AI/Machine-Learning
This podcast describes an incredible journey starting with Image Analysis to including AI/ML deep learning capabilities
Deep AI/ML Multiple Instance Learning
Good overview of the application of Deep MIL to Image Based Diagnosis Deep MIL
Economic Thinking and a Mini-MBA for Data Scientists
Every Data Scientist needs to be a “Product Manager”: Understand the full picture: user needs and pushing back on requirements! Asking question. Finally, whi...
AI/ML Convolution Neural Networks (CNNs) For Image Classification
AI/Machine-Learning Convolution Neural Networks (CNNs) are at the heart of many major image classification systems. I found a great blog on FreeCodeCamp (lin...
Build Successful End to End Machine Learning Systems
Great advice on what it takes to be great data scientist and data engineer: A data-centric inquiring mind, Desire to pick up some tech skills over time and,...
What is Data Oriented Programming?
Brilliant conversation on data-oriented programming with JSON schema front-and-center versus Object Oriented Programming including strongly typed systems. D...
From Apple store specialist to ML engineer at Apple
A great story: A tenacious and humble engineer @loganKilpatrick describes his journey from the Apple store to an ML engineer at Apple! Apple-Retail-to-ML