Latest news with #SalehDadkhahipour
Time of India
23-05-2025
- Lifestyle
- Time of India
Travel in style: Sartorial stories for a trip around the world
Elevate your travel style with inspiration from Stanford's Saleh Dadkhahipour, mastering the art of blending comfort, class, and character. From Tuscan vineyards to city streets, discover how to create memorable outfits with versatile pieces like neutral jackets and well-tailored separates. In a world where every destination offers its own aesthetic, personal style becomes the best kind of passport. Whether it's the vineyards of Tuscany or the cobbled streets of Budapest, these travel moments prove that looking sharp isn't confined to boardrooms or black-tie affairs. Here are some tips to ace your travel style – with Stanford student Saleh Dadkhahipour as our muse – to make sure every outfit tells a story, and every look is equal parts comfort, class, and character. Vineyard Vibes in Sartorial Neutrals Channeling refined rustic charm, this ensemble is all about quiet luxury. The off-white belted jacket paired with a deep blue shirt strikes a balance between tailored and relaxed. With vineyards in the backdrop and a camera in hand, this look blends functionality with flair—a perfect companion for countryside escapes. Style Takeaway: Invest in a versatile overshirt or belted jacket in a neutral tone. It works across destinations and seasons, adding instant polish without feeling overdone. Smart-Casual Strolls in City Streets Urban travel style gets a sharp upgrade with a fitted maroon sweater and sleek grey trousers. Finished with brown boots and aviators, it's a laid-back yet elevated outfit that can transition effortlessly from sightseeing to a casual dinner. by Taboola by Taboola Sponsored Links Sponsored Links Promoted Links Promoted Links You May Like This homemade pink salt fat-burning mix is shocking experts Lipozem Supplement Undo Style Takeaway: Mix strong tones like burgundy or rust with muted classics like grey for a balanced yet eye-catching look. Add structure with good tailoring even in casualwear. Resort-Ready Minimalism on Deck A crisp white linen shirt and paisley swim shorts are the ultimate pairing for Mediterranean lounging. Breezy, breathable and beach-appropriate, this look keeps things refined while letting the surroundings shine. Style Takeaway: When packing light, bring a white linen shirt—it works at the beach, by the bar, or layered under a blazer. Choose statement swim shorts to infuse character. Sleek Monochrome for Winter Wanderings A charcoal pinstripe overcoat layered over black keeps the cold-weather look sleek and structured. The subtle pattern adds depth, while the scarf and sunglasses introduce personality without fuss. Style Takeaway: Stick to a single colour family for instant sophistication in winter dressing. A textured scarf or fine pinstripes prevent monochrome from feeling flat. Coastal Ease in Cool Blue A soft blue polo paired with grey trousers proves that simplicity can be striking. The rolled sleeves and tucked-in top project effortlessness, making this look a go-to for sunny seaside towns or European alleys. Style Takeaway: Polo shirts are travel MVPs—comfortable yet smart. Choose one in a washed or desaturated tone for a softer visual appeal. One step to a healthier you—join Times Health+ Yoga and feel the change
Time of India
08-05-2025
- Health
- Time of India
AI meets the scalpel: The promise and prematurity of AI in healthcare
Saleh Dadkhahipour is an Iranian-born MBA student at Stanford Graduate School of Business, focusing on AI, business, and economic development. With a consulting background and experience across three continents, he is passionate about leveraging technology to drive economic transformation and foster cross-cultural collaboration. LESS ... MORE 'Healthcare in the US will likely get worse before it gets better,' said Amit Garg, Managing Partner at Tau Ventures, as we wrapped up our fireside chat on Stanford GSB's campus. The comment landed with a quiet finality, not alarmist, but precise. Garg, a seasoned venture capitalist focused on AI and digital health, wasn't hedging his bets. He was diagnosing a system with chronic ailments, from administrative bloat to perverse financial incentives, and forecasting a painful course of treatment. His view is one I increasingly share. As an MBA student immersed in innovation and entrepreneurship, I'm surrounded by peers building the future of healthcare. Yet even the most promising technologies seem to run headlong into a legacy system engineered more for reimbursement cycles than patient outcomes. The dysfunction we live with The US spends over $4.5 trillion annually on healthcare, more than any other country by far. Yet our outcomes trail peers across every major health metric. Why? Because the system isn't designed to deliver care; it's designed to navigate itself. Patients, providers, payers, pharmacy benefit managers, and policymakers operate in a web of misaligned incentives. Physicians drown in paperwork. Hospitals battle reimbursement codes. Innovation struggles to find oxygen in a space starved of interoperability and obsessed with liability. As Garg put it, 'Too many players benefit from the status quo.' The hope: What AI can actually do For all the dysfunction embedded in today's healthcare systems, artificial intelligence offers the most credible path to transformation. Its potential isn't theoretical anymore, it's unfolding in labs, clinics, and codebases around the world. Here's what AI is already doing: Diagnostics: Tools like DeepMind's AlphaFold or PathAI are now detecting diseases with a level of accuracy that sometimes exceeds trained physicians. In radiology, AI-assisted models have improved early cancer detection rates by up to 30% in clinical trials. Drug discovery: Companies like Insilico Medicine and Recursion are compressing drug development timelines by simulating molecular interactions and optimizing clinical trial design. The average cost of bringing a new drug to market is over $2 billion, AI may soon slash that. Surgical support: Robotic and AI-assisted systems are now guiding surgeons in real time, enhancing precision and reducing complications. In orthopaedics, for instance, AI tools can predict post-surgical outcomes based on thousands of prior cases. Admin relief: Clinicians spend nearly half their workday on paperwork. AI is increasingly automating billing, transcription, and prior authorizations, freeing up time for patient care. A recent study found that 90% of doctors cite administrative burden as a major cause of burnout. Personalized medicine: By analyzing genomic data, lab results, and patient histories, AI enables tailored treatment plans that outperform standardized approaches. This is especially promising in oncology, where individual responses to therapy vary drastically. These advances are not just tools, they're becoming the infrastructure for a new kind of healthcare. But like all infrastructure, they must be embedded into systems that function. That's the real challenge. The Reluctant Testbed A few weeks ago, I was speaking with a venture capitalist on Stanford's campus who put it bluntly: in most sectors, you can launch a 'good enough' product, iterate fast, and let the market be your testing ground. But in healthcare, 'good enough' is never good enough. The stakes are too high; lives are quite literally on the line. This has profound implications for founders and funders alike. Health-tech start-ups often face longer development timelines, complex regulatory approvals, and resistance from hospitals or providers who demand not just innovation but certainty. It affects how teams are built, how capital is raised, and how motivation is sustained across what can feel like a marathon of clinical trials, FDA filings, and institutional gatekeeping. At GSB, I've seen students build beautifully engineered health products, only to find out their biggest challenge isn't the tech but the trust. In this industry, the minimum viable product isn't just code; it's clinical proof. Before It Gets Better Still, Garg is clear-eyed. 'We are near the peak of inflated expectations,' he recently wrote, referencing Gartner's famous hype cycle. 'But we also fundamentally believe that the plateau of productivity will lead to tectonic shifts.' Those shifts won't come easily. In the US, we may see more burnout, deeper inequality, and slower adoption before the gains of AI and digital health reach the average patient. But ignoring these tools would be malpractice. Because when an algorithm can catch what the eye might miss, when a doctor gets hours back from the clutches of bureaucracy, and when a village gains access to care through a screen, that's not just technology. That's a system beginning to heal. And maybe, just maybe, it's worth the pain of getting there. Facebook Twitter Linkedin Email Disclaimer Views expressed above are the author's own.
