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Tomer’s story: How I discovered that you can get your money in order – in just 30 minutes

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time: 3 min read
Tomer was desperately looking for cheap plane tickets to Paris, but discovered that the real money was slipping away between his mortgage, insurance, and pension. In a short Zoom conversation, Better’s technology revealed opportunities to save thousands of shekels – much more than he managed to save on plane tickets. Do you also want to find out how much money is hiding in your pocket?
“At the end of the meeting, I was left with one question: Why did I wait so long?! I discovered that there is no need for special financial knowledge, no need to dig through reports that look like Chinese, and no need to devote entire days to it. Just 30 minutes of Zoom – and the rest happens by itself.”

It all started when I returned from a family trip to London. For weeks, I racked my brains looking for cheap airfare, checked price comparisons on every possible website, and made endless calculations about how much I would save by flying midweek versus on the weekend. In the end, after all the effort, I managed to save about 250 shekels on the trip. Not bad, but I felt like I had wasted a lot of time and left feeling like I could have saved a lot more – I just didn’t know where.

When I returned to Israel, I got a call from a friend who saw me as a “guru” for savings and cheap flights. She told me about a new Israeli startup called Better. “You have to try it!” she said excitedly. At first I rolled my eyes: “More financial advice?! I already have insurance, a mortgage, and pension funds, and I barely have time to take care of it.” But curiosity got the better of me, and I decided to give it a chance.

30 minutes of Zoom – and order in chaos

I scheduled a half-hour Zoom meeting with a financial expert. Although I hate talking about money, I was pleasantly surprised: the man was attentive and easy-going, and he helped me understand that if I insist on every shekel on airline tickets, why not invest half an hour to save thousands of shekels on the mortgage, commissions, and management fees?

Schedule an introductory call with a Better economist today and join over 19,000 customers who enjoy the best conditions on the market.
Choose a time that suits you for a Zoom call and we will send you an invitation by email.

During the conversation, he explained that Better’s system scans all my savings options in real time—from insurance and pensions to taxes and mortgages. When a savings opportunity is discovered, I get a WhatsApp notification and just have to approve. “That means there’s no chance you’re missing out,” he said, “and you don’t have to worry about it either.”

From flight search to real savings

It turns out there’s a phenomenon called “financial procrastination” – exactly what I do every time I try to think about insurance, pensions and other complex concepts. But Better’s technology bypasses that. Instead of me having to make phone calls, go through documents and compare myself, the system does it for me.

After reviewing my data, it turned out that I was paying too much in management fees in the pension fund, and I had expensive life insurance that didn’t meet my needs. In the first week, I reduced my insurance and saved dozens of shekels a month – which adds up to thousands of shekels over the years. That’s more than I managed to save on flight searches.

When I realized the savings potential, I decided to bring my mother to the next consultation – a woman with a complicated mortgage portfolio and a stack of insurance policies from the past few decades. The Better team carefully sorted through all the dusty documents and uncovered opportunities to save thousands of shekels on her mortgage.
“Do you also want to say goodbye to financial procrastination?”

At the end of the meeting, I was left with one question: Why did I wait so long?! I discovered that there is no need for special financial knowledge, no need to dig through reports that look like Chinese, and no need to dedicate entire days to it. Just 30 minutes of Zoom – and the rest happens by itself.

If you too want to find out how much money you can save without chasing calculations, click here to register for a free consultation. From my personal experience: This is probably the most worthwhile half hour you will ever spend on this topic. Who would have thought that real savings begin when you stop looking for cheap flights – and focus on what is happening in your bank account?

Schedule an introductory call with a Better economist today and join over 19,000 customers who enjoy the best conditions on the market.
Choose a time that suits you for a Zoom call and we will send you an invitation by email.

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A team of Harvard researchers introduces TxAgent: an artificial intelligence agent for personalized care

 

TxAgent: A Breakthrough in Personalized Medical Care

The Zitnik Lab at Harvard University recently introduced TxAgent, an innovative artificial intelligence agent designed to revolutionize the therapeutic decision-making process. The development comes at a critical time as healthcare systems around the world seek ways to improve the efficiency of medical care and reduce medical errors.

Led by Prof. Marinka Zitnik, the team of researchers developed a system that combines advanced multi-step analysis and real-time dynamic access to huge medical databases. The system is able to assess complex drug interactions, identify potential contraindications, and suggest treatment strategies tailored to the specific patient based on their entire medical data.

“TxAgent represents a completely new approach to precision medicine,” explains Prof. Zitnik. “Instead of relying on standard protocols that are not always appropriate for every patient, our system analyzes each patient’s unique situation and offers a personalized treatment plan.”

TxAgent’s complex architecture integrates 211 different data analysis tools, ranging from traditional statistical models to advanced deep learning algorithms, all working in harmony to provide accurate and reliable treatment recommendations.

 

Advanced capabilities and technological innovation

One of TxAgent’s significant advantages is its ability to perform complex analyses of medical data in real time. The system can analyze a patient’s medical history, laboratory test results, genetic data, and information about previous treatments, and combine all of this with the latest scientific knowledge from global medical databases.

Unlike traditional clinical support systems, TxAgent goes beyond providing basic alerts, but offers in-depth, layered analysis:

  • Drug interaction analysis : The system identifies not only direct interactions between drugs, but also combined effects of several drugs together.
  • Genetic matching : TxAgent takes into account the patient’s genetic profile to predict drug efficacy and side effects.
  • Continuous learning : The system is constantly improving with each new case, updated in real time from new studies and clinical protocols.
  • Transparency in decision-making : Unlike “black box” systems, TxAgent provides clear explanations for each recommendation, which increases the medical team’s trust in the system.

Dr. James Chen, one of the senior researchers on the project, emphasizes: “One of the biggest challenges in medicine today is the enormous amount of information that doctors have to process. TxAgent helps filter the most relevant information and presents it clearly, allowing doctors to make more informed decisions in less time.”

 

The potential to improve treatment outcomes and patient safety

The clinical application of TxAgent holds significant potential for improving treatment outcomes and patient safety in several aspects:

  1. Reduce medical errors : According to studies, medication errors cause many unnecessary hospitalizations each year. TxAgent can reduce these errors by accurately identifying drug interactions and contraindications.
  2. Dose personalization : The system is able to recommend dosage adjustments based on many factors, including patient weight, kidney and liver function, medical history, and genetic profile.
  3. Improving treatment compliance : Through personalized recommendations, TxAgent can help reduce side effects and improve patients’ compliance with drug treatment.
  4. Streamlining decision-making processes : Making relevant information available in real time allows the medical team to make faster and more informed decisions.

In initial trials in a controlled clinical setting, TxAgent showed a 28% improvement in identifying potentially dangerous drug interactions, and a 34% improvement in tailoring treatment protocols to unique patient profiles.

 

Ethical challenges and questions

Despite the great promise, the development and implementation of systems like TxAgent also raises significant challenges:

  • Privacy and data security : The system requires access to sensitive medical information, which raises questions about data security and privacy.
  • Medical liability : Questions regarding liability in cases of error or system failure have not yet been fully resolved.
  • Integration into existing systems : Integrating the system into existing medical information systems poses a significant technical challenge.
  • Training of medical teams : The success of the system depends largely on the ability of medical teams to use it effectively.

Prof. Zitnik is aware of these challenges: “We take the ethical and practical questions seriously. TxAgent is intended to be a decision-support tool, not a substitute for medical judgment. The physician always remains the ultimate authority in the decision-making process.”

Summary: The Future of Personalized Medicine

TxAgent represents a significant step forward in the era of personalized medicine. The system demonstrates how artificial intelligence can be used as a powerful tool in the hands of medical staff, enabling more informed decisions tailored to the unique needs of each patient.

“Personalized medicine is not just a trend, but the future of medicine,” concludes Prof. Zitnik. “With tools like TxAgent, we are moving toward a world where medical care will be more precise, more efficient, and perfectly tailored to each patient.”

The research team is now planning larger clinical trials in collaboration with several hospitals across the United States, with the aim of testing the system’s effectiveness in a wide range of clinical scenarios and patient populations. If the trials are successful, TxAgent could be available to medical institutions within two to three years.

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