Nimble Portal

Nimble Portal We are a Data, Analytics and AI innovative Solutions Company you can trust. We challenge assumptions, run experiments, and follow the evidence.

Every day, managers make decisions about services, products, customers, resource allocation, employee pay, and more, basing them on assumptions that have never been critically examined, much less challenged. We ask the right questions such as “Is this really true?” and “Do we really believe in that?”. We cooperate with our Clients creating new opportunities for mutual growth. Understanding the disruptive trends that are shaping the future, and preparing client´s organizations to thrive using data, algorithms and AI innovative solutions is what we have been doing since 2012. We build long-lasting relationships with our clients, and they trust us from the beginning. Join our Team:

We recruit human beings, not workers. Our People are at the centre of what we do. Where the work actually happens, where the value for Customers is created. Trust drives the ability of nimble' consultants to discover and do what they like. Learn, unlearn, and re-learn are continuous processes at nimble. Change is a constant. All nimble consultants have the capacity to become innovators. They are committed to lifelong learning.

Innovation does not have to start from zero.Around the world, startups are already developing technologies that can answ...
02/10/2026

Innovation does not have to start from zero.

Around the world, startups are already developing technologies that can answer challenges companies are facing today. The difficulty is often not creating more ideas, but finding the right ones at the right time.

Through ecosystems such as Berkeley SkyDeck, Nimble gains access to emerging technologies and high-potential startups, creating a bridge between international innovation and organisations in Portugal.

This means looking beyond the usual technology landscape and bringing new possibilities closer to the market.

Your next breakthrough may already exist. Let’s find it.

What if some people are born with a genetic advantage against heart disease?A study of more than one million people acro...
29/09/2026

What if some people are born with a genetic advantage against heart disease?

A study of more than one million people across three continents has identified a rare variant of the FNIP1 gene associated with around a 60% lower risk of cardiometabolic disease. Carriers also showed healthier levels of liver fat, blood sugar and other markers linked to cardiovascular health.

The discovery is particularly interesting because it could point towards new ways of preventing conditions that increase the risk of heart attacks and other cardiovascular diseases. Researchers are now exploring whether inhibiting FNIP1 through future medicines or gene-based approaches could reproduce some of this natural protection.

There is still a long way to go, especially in understanding how to target the gene safely. But the study shows how large-scale genomics can uncover protective mechanisms already present in human biology, and turn them into starting points for tomorrow‘s treatments.

Could the future of heart disease prevention begin with studying the people who are naturally protected from it?


Source: Singularity Hub

For decades, cancer care has focused on detecting and treating tumours. But what if the next frontier is intercepting ca...
25/09/2026

For decades, cancer care has focused on detecting and treating tumours. But what if the next frontier is intercepting cancer before it develops?

A new study from MIT researchers is exploring this possibility by targeting caspase-1, an enzyme involved in inflammation. In high-risk mice, inhibiting the enzyme reduced the development of lung tumours.

The idea goes beyond a single drug or one type of cancer.

It points towards a shift in healthcare: from detecting disease to identifying risk earlier and acting before it becomes disease.

This is the promise of cancer interception, and a glimpse into how research, biomarkers and existing technologies could change the way we think about prevention.


Source: MIT

We ask ChatGPT “What is something everyone thinks is true but AI can prove wrong?” and this was his anwser:“Everyone thi...
23/09/2026

We ask ChatGPT “What is something everyone thinks is true but AI can prove wrong?” and this was his anwser:

“Everyone thinks that we only use 10% of our brain. 🧠

But that’s actually a myth. Brain imaging and neuroscience research show that we use virtually all parts of our brain, although not every area is active at the same time. Even when we’re resting, different regions are working behind the scenes to control our breathing, memory, emotions and countless other processes.

So, no - there isn’t a mysterious 90% of our brain waiting to be unlocked.“

Um reconhecimento que reflete consistência, solidez e crescimento sustentável.A Nimble foi distinguida no TOP 5% Melhore...
22/09/2026

Um reconhecimento que reflete consistência, solidez e crescimento sustentável.

A Nimble foi distinguida no TOP 5% Melhores PME de Portugal 2026, uma certificação que reconhece empresas com elevada sustentabilidade financeira e um desempenho empresarial sólido.

Mais do que um resultado, esta distinção representa o trabalho da nossa equipa, a confiança dos nossos clientes e parceiros e a forma como continuamos a crescer com foco na inovação, na tecnologia e na criação de valor a longo prazo.

É com orgulho que fazemos parte das empresas que contribuem para um ecossistema empresarial mais forte e competitivo em Portugal.

Alzheimer’s develops over years, often long before a diagnosis is made. AI could help researchers identify and understan...
21/09/2026

Alzheimer’s develops over years, often long before a diagnosis is made. AI could help researchers identify and understand those changes sooner.

New research presented at the Alzheimer’s Association International Conference shows how AI is being applied across the Alzheimer’s research journey: analysing electronic health records for early signals, improving the quality of brain scans, tracking patterns of brain shrinkage and helping researchers navigate enormous dementia datasets.

One study found that an AI model could identify an increase in Alzheimer’s-related signals in health records up to 15 years before diagnosis. Other approaches are using AI to extract more information from PET scans and better understand individual patterns of disease progression.

AI is also accelerating research itself. Tools such as GINA and AlzNavigator are helping scientists explore datasets involving hundreds of thousands of participants, generate analyses and uncover connections that would otherwise be difficult to investigate at scale.

The opportunity isn’t to replace researchers or clinicians, but to give them better ways to see patterns, ask questions and turn complex data into knowledge.

Could AI help us understand Alzheimer’s before its most visible symptoms appear?


Source: Being Patient

Artificial Intelligence is increasingly being applied across respiratory medicine, from diagnosis and medical imaging to...
16/09/2026

Artificial Intelligence is increasingly being applied across respiratory medicine, from diagnosis and medical imaging to monitoring, prediction and prevention.

AI can help analyse chest X-rays and CT scans, identify patterns in pulmonary function tests, and interpret cough, breathing and speech recordings captured through smartphones and wearable devices.

But the potential goes further. By combining clinical data with information from connected devices and environmental factors, AI could help monitor conditions such as asthma and COPD, identify increasing risk and support earlier intervention.

From the clinic to the home, AI is creating new possibilities for more continuous and personalised respiratory care.

AI isn’t transforming just one part of respiratory care. It’s reshaping the entire journey, from diagnosis to prevention.


Source: npj

For centuries, information has shaped how societies organise knowledge, power and decision-making.In Nexus, Yuval Noah H...
14/09/2026

For centuries, information has shaped how societies organise knowledge, power and decision-making.

In Nexus, Yuval Noah Harari explores how information networks have evolved, from oral traditions and written texts to the internet, and how Artificial Intelligence could represent a fundamentally different stage in that evolution.

AI doesn’t just transmit information. It can generate, interpret and act on it.

And that raises a bigger question: what happens when the systems we built to manage information start making decisions themselves?

Nexus offers a thought-provoking lens through which to explore AI, power, trust and the future of our information networks.

We ask ChatGPT “How can AI help you prioritise your workload after a break?“ and this was his anwser:“Back from holidays...
11/09/2026

We ask ChatGPT “How can AI help you prioritise your workload after a break?“ and this was his anwser:

“Back from holidays and don’t know where to start? Let AI help you organise the chaos. Give AI your list of pending tasks and ask it to:
→ Separate what’s urgent from what can wait
→ Group tasks by project or type
→ Identify your top 3 priorities for today
→ Create a realistic plan for your first week back

The goal isn’t to let AI do your work for you. It’s to help you see the bigger picture, make decisions faster and get back into your rhythm. Sometimes, the best first step is simply knowing where to start.“

Estimating fetal age is a key part of prenatal care, but traditional methods rely on precise measurements and specialise...
09/09/2026

Estimating fetal age is a key part of prenatal care, but traditional methods rely on precise measurements and specialised expertise.

A new deep learning model is showing how AI could change that. Trained on more than 2 million ultrasound images from 78,531 pregnancies, the model can estimate gestational age directly from ultrasound images, regardless of their orientation.

The results are striking: in testing, the model achieved a mean absolute error of 1.7 days between 14–18 weeks and 2.8 days between 18–24 weeks, outperforming traditional biometry in those ranges.

And the potential goes beyond accuracy. By reducing the level of specialised expertise needed to obtain an estimate, AI could help make prenatal care more accessible, particularly in settings where skilled sonographers are scarce.

AI isn‘t replacing the ultrasound, it‘s changing what we can learn from it.


Source: npj

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